Results and guarantees of the PhD in Statistics and Operational Research (2024/2025)

Quality assurance

The UDC International Doctoral School (EIDUDC) is subject to an Internal Quality Assurance System (IQAS) which governs all UDC PhD programmes ratified by Royal Decree-Law 99/2011, in compliance with EU Standards and Guidelines for Quality Assurance in the EHEA. For more information, see documentation relating to the UDC International Doctoral School Internal Quality Assurance System (Regulations for the implementation and administration of the International Doctoral School SGIC for UDC PhD programmes ratified under RD 99/2011; International Doctoral School IQAS Manual; International Doctoral School IQASProcedures).

Guidelines for the monitoring and supervision of the student learning process and outcomes are established in the IQAS Procedures document. The bodies and mechanisms responsible for the coordination, evaluation and continuous improvement of the programme of study are as follows:

Academic Committee for PhD Programmes (CAPD): university body responsible for the academic coordination of PhD programmes and academic decisions regarding PhD degree and degree candidates. The CAPD establishes the guidelines and procedures for the programme coordinator and all individuals involved in the degree. A UDC coordinator is appointed for all UDC PhD programmes ratified under RD 99/2011, including inter-university programmes operated by partner universities.

EIDUDC Quality Assurance Committee (CGC): body responsible for formulating and monitoring the SGIC and PhD degree programmes. The CGC also fulfils an internal communication role within the EIDUDC in relation to its objectives, plans, programmes and responsibilities. An annual monitoring report is produced by the EIDUDC Permanent Committee, acting in the name of the CGC.

Committees

In order to ensure proper standards and quality at UDC, a specific academic management committee of the PhD programme will be established.

Academic committee

Vilar Fernández, José Antonio
Coordinador

Jácome Pumar, María Amalia
Vocal PDI

Francisco Fernández, Mario
Vocal PDI

Program tracking facts

	Period	Value
Places offered Number of places for new students entering PhD (IPD01)	2023/2024	8
Demand Number of applicants for PhD admission (IPD02)	2023/2024	8
First-time enrollment Number of first-time enrollment students in PhD (IPD03)	2023/2024	1
First-time enrollment by adaptation Number of first-time enrollment students in the program or students coming from other studies in extinction (IPD03.1)	2023/2024	0
Total enrollment Total number of students enrolled (IPD04)	2023/2024	7
First-time enrollment coming from other universities Ratio between the number of first-time enrolled students coming from other universities and the total number of first-time enrolled students in the program (IPD05)	2023/2024	100
Percentage of foreign students Ratio between the number of foreign students enrolled and the total number of students enrolled in the programme (IPD06)	2023/2024	14.29
Percentage of first-time enrolled students who need training complements Ratio between the number of students enrolled who need training complements and the total number of new students enrolled in the programme (IPD07)	2023/2024	0
Percentage of full-time enrollees Ratio between the number of students under full time status and the number of students enrolled in the programme (IPD08.1)	2023/2024	71.43
Percentage of partial-time enrollees Ratio between the number of students under half time status and the number of students enrolled in the programme (IPD08.2)	2023/2024	0
Percentage of enrollees under mixed status Ratio between the number of students under mixed status and the number of students enrolled in the programme (IPD08.3)	2023/2024	28.57
Percentage of enrollees who carried out a stay passed by the CAPD (Outgoing) Ratio between the number of students who carried out a stay as visiting researchers passed by the CAPD (outgoing students) and the total number of students enrolled in the programme (IPD09.1)	2023/2024	57.14
Percentage of enrollees who carried out a stay passed by the CAPD at UDC (Incoming) Number of students who carried out a stay as visiting researchers passed by the CAPD (incoming students) (IPD09.2)	2023/2024	n/a
Percentage of enrollees with a grant or pre-doctoral contract Ratio between the number of students with a grant or pre-doctoral contract and the number of students enrolled in the programme (IPD11)	2023/2024	42.86
Percentage of theses defended by students who had several directors Ratio between the number of theses defended by students of the programme who had several directors and the total number of defended theses in the programme (IPD14)	2023/2024	100
Percentage of examination board members coming from an foreign institution Ratio between the number of examination board members of thesis linked to the programme coming from an foreign institution and the total umber of examination board members of thesis linked to the programme (IPD17)	2023/2024	44.44
Total number of defended thesis Total number of defended thesis linked to the programme (IPD18.1)	2023/2024	3
Percentage of defended thesis written by full-time students Ratio between the total number of defended thesis written by students under full time status and the total number of defended theses in the programme (IPD18.2.1)	2023/2024	66.67
Percentage of defended thesis written by partial-time students Ratio between the total number of defended thesis written by students under partial time status and the total number of defended theses in the programme (IPD18.2.2)	2023/2024	0
Percentage of defended thesis written by students under mixed status Ratio between the total number of defended thesis written by students under mixed status and the total number of defended theses in the programme (IPD18.2.3)	2023/2024	33.33
Total number of tesis written in Galician Total number of defended thesis linked to the programme written in Galician (IPD18.3.1)	2023/2024	0
Total number of tesis written in Spanish Total number of defended thesis linked to the programme written in Spanish (IPD18.3.2)	2023/2024	0
Total number of tesis written in other languages Total number of defended thesis linked to the programme written in other languages (IPD18.3.3)	2023/2024	3
Average duration of studies of full-time students Average duration of studies for students under full time status who defended a thesis (in days) (IPD18.4.1)	2023/2024	1,383
Average duration of studies of partial-time students Average duration of studies for students under half time status who defended a thesis (in days) (IPD18.4.2)	2023/2024	n/a
Average duration of studies of students under mixed time status Average duration of studies for students under mixed time status who defended a thesis (in days) (IPD18.4.3)	2023/2024	2,071
Success rate. Percentage of students who defended their theses without asking for an extension Ratio between the number of doctoral students who defended their theses without asking for an extension and the total number of defended thesis linked to the programme (IPD18.5.1)	2023/2024	0
Success rate. Percentage of students who defended their theses after asking for the first extension Ratio between the number of doctoral students who defended their theses after asking for the first extension and the total number of defended thesis linked to the programme (IPD18.5.2)	2023/2024	66.67
Success rate. Percentage of students who defended their theses after asking for the second extension Ratio between the number of doctoral students who defended their theses after asking for the second extension and the total number of defended thesis linked to the programme (IPD18.5.3)	2023/2024	33.33
Percentage of "cum laude" theses Ratio between the number of defended theses linked to the programme with "Cum Laude" qualification and the total number of defended thesis linked to the programme (IPD18.6)	2023/2024	66.67
Percentage of theses with International Component Ratio between the number of defended theses linked to the programme with International Component and the total number of defended thesis linked to the programme (IPD18.7)	2023/2024	100
Dropout rate Ratio between the number of doctoral students who cause permanent withdrawal from the X course and the total number of doctoral students who could re-enroll in this programme. (IPDx21)	2023/2024	25
Tasa de ocupación Relación porcentual entre el nº de estudantes de nuevo ingreso y el nº de plazas ofertadas. (D03-P01-I01)	2023/2024	12.5
Tasa de demanda Relación numérica entre el nº de solicitudes de admisión y el nº de plazas ofertadas. (D03-P01-I02)	2023/2024	1
Porcentaje de tesis con mención industrial Relación porcentual entre el nº de tesis defendidas con mención industrial y el nº total de tesis defendidas (valor acumulativo). (D04-P01-I08)	2023/2024	0.61
Porcentaje de tesis defendidas en cotutela Relación porcentual entre el nº de tesis defendidas en cotutela y el nº total de tesis defendidas. (D04-P01-I11)	2023/2024	33.33

	Period	Value
Places offered Number of places for new students entering PhD (IPD01)	2022/2023	8
Demand Number of applicants for PhD admission (IPD02)	2022/2023	2
First-time enrollment Number of first-time enrollment students in PhD (IPD03)	2022/2023	1
First-time enrollment by adaptation Number of first-time enrollment students in the program or students coming from other studies in extinction (IPD03.1)	2022/2023	0
Total enrollment Total number of students enrolled (IPD04)	2022/2023	9
First-time enrollment coming from other universities Ratio between the number of first-time enrolled students coming from other universities and the total number of first-time enrolled students in the program (IPD05)	2022/2023	100
Percentage of foreign students Ratio between the number of foreign students enrolled and the total number of students enrolled in the programme (IPD06)	2022/2023	11.11
Percentage of first-time enrolled students who need training complements Ratio between the number of students enrolled who need training complements and the total number of new students enrolled in the programme (IPD07)	2022/2023	0
Percentage of full-time enrollees Ratio between the number of students under full time status and the number of students enrolled in the programme (IPD08.1)	2022/2023	66.67
Percentage of partial-time enrollees Ratio between the number of students under half time status and the number of students enrolled in the programme (IPD08.2)	2022/2023	0
Percentage of enrollees under mixed status Ratio between the number of students under mixed status and the number of students enrolled in the programme (IPD08.3)	2022/2023	33.33
Percentage of enrollees who carried out a stay passed by the CAPD (Outgoing) Ratio between the number of students who carried out a stay as visiting researchers passed by the CAPD (outgoing students) and the total number of students enrolled in the programme (IPD09.1)	2022/2023	11.11
Percentage of enrollees who carried out a stay passed by the CAPD at UDC (Incoming) Number of students who carried out a stay as visiting researchers passed by the CAPD (incoming students) (IPD09.2)	2022/2023	n/a
Percentage of enrollees with a grant or pre-doctoral contract Ratio between the number of students with a grant or pre-doctoral contract and the number of students enrolled in the programme (IPD11)	2022/2023	44.44
Percentage of theses defended by students who had several directors Ratio between the number of theses defended by students of the programme who had several directors and the total number of defended theses in the programme (IPD14)	2022/2023	50
Percentage of examination board members coming from an foreign institution Ratio between the number of examination board members of thesis linked to the programme coming from an foreign institution and the total umber of examination board members of thesis linked to the programme (IPD17)	2022/2023	50
Total number of defended thesis Total number of defended thesis linked to the programme (IPD18.1)	2022/2023	2
Percentage of defended thesis written by full-time students Ratio between the total number of defended thesis written by students under full time status and the total number of defended theses in the programme (IPD18.2.1)	2022/2023	100
Percentage of defended thesis written by partial-time students Ratio between the total number of defended thesis written by students under partial time status and the total number of defended theses in the programme (IPD18.2.2)	2022/2023	0
Percentage of defended thesis written by students under mixed status Ratio between the total number of defended thesis written by students under mixed status and the total number of defended theses in the programme (IPD18.2.3)	2022/2023	0
Total number of tesis written in Galician Total number of defended thesis linked to the programme written in Galician (IPD18.3.1)	2022/2023	0
Total number of tesis written in Spanish Total number of defended thesis linked to the programme written in Spanish (IPD18.3.2)	2022/2023	0
Total number of tesis written in other languages Total number of defended thesis linked to the programme written in other languages (IPD18.3.3)	2022/2023	2
Average duration of studies of full-time students Average duration of studies for students under full time status who defended a thesis (in days) (IPD18.4.1)	2022/2023	1,306
Average duration of studies of partial-time students Average duration of studies for students under half time status who defended a thesis (in days) (IPD18.4.2)	2022/2023	n/a
Average duration of studies of students under mixed time status Average duration of studies for students under mixed time status who defended a thesis (in days) (IPD18.4.3)	2022/2023	n/a
Success rate. Percentage of students who defended their theses without asking for an extension Ratio between the number of doctoral students who defended their theses without asking for an extension and the total number of defended thesis linked to the programme (IPD18.5.1)	2022/2023	0
Success rate. Percentage of students who defended their theses after asking for the first extension Ratio between the number of doctoral students who defended their theses after asking for the first extension and the total number of defended thesis linked to the programme (IPD18.5.2)	2022/2023	100
Success rate. Percentage of students who defended their theses after asking for the second extension Ratio between the number of doctoral students who defended their theses after asking for the second extension and the total number of defended thesis linked to the programme (IPD18.5.3)	2022/2023	0
Percentage of "cum laude" theses Ratio between the number of defended theses linked to the programme with "Cum Laude" qualification and the total number of defended thesis linked to the programme (IPD18.6)	2022/2023	100
Percentage of theses with International Component Ratio between the number of defended theses linked to the programme with International Component and the total number of defended thesis linked to the programme (IPD18.7)	2022/2023	100
Dropout rate Ratio between the number of doctoral students who cause permanent withdrawal from the X course and the total number of doctoral students who could re-enroll in this programme. (IPDx21)	2022/2023	0

	Period	Value
Places offered Number of places for new students entering PhD (IPD01)	2021/2022	8
Demand Number of applicants for PhD admission (IPD02)	2021/2022	5
First-time enrollment Number of first-time enrollment students in PhD (IPD03)	2021/2022	2
First-time enrollment by adaptation Number of first-time enrollment students in the program or students coming from other studies in extinction (IPD03.1)	2021/2022	0
Total enrollment Total number of students enrolled (IPD04)	2021/2022	13
First-time enrollment coming from other universities Ratio between the number of first-time enrolled students coming from other universities and the total number of first-time enrolled students in the program (IPD05)	2021/2022	50
Percentage of foreign students Ratio between the number of foreign students enrolled and the total number of students enrolled in the programme (IPD06)	2021/2022	15.38
Percentage of first-time enrolled students who need training complements Ratio between the number of students enrolled who need training complements and the total number of new students enrolled in the programme (IPD07)	2021/2022	0
Percentage of full-time enrollees Ratio between the number of students under full time status and the number of students enrolled in the programme (IPD08.1)	2021/2022	61.54
Percentage of partial-time enrollees Ratio between the number of students under half time status and the number of students enrolled in the programme (IPD08.2)	2021/2022	0
Percentage of enrollees under mixed status Ratio between the number of students under mixed status and the number of students enrolled in the programme (IPD08.3)	2021/2022	38.46
Percentage of enrollees who carried out a stay passed by the CAPD (Outgoing) Ratio between the number of students who carried out a stay as visiting researchers passed by the CAPD (outgoing students) and the total number of students enrolled in the programme (IPD09.1)	2021/2022	15.38
Percentage of enrollees who carried out a stay passed by the CAPD at UDC (Incoming) Number of students who carried out a stay as visiting researchers passed by the CAPD (incoming students) (IPD09.2)	2021/2022	n/a
Percentage of enrollees with a grant or pre-doctoral contract Ratio between the number of students with a grant or pre-doctoral contract and the number of students enrolled in the programme (IPD11)	2021/2022	38.46
Percentage of theses defended by students who had several directors Ratio between the number of theses defended by students of the programme who had several directors and the total number of defended theses in the programme (IPD14)	2021/2022	100
Percentage of examination board members coming from an foreign institution Ratio between the number of examination board members of thesis linked to the programme coming from an foreign institution and the total umber of examination board members of thesis linked to the programme (IPD17)	2021/2022	33.33
Total number of defended thesis Total number of defended thesis linked to the programme (IPD18.1)	2021/2022	3
Percentage of defended thesis written by full-time students Ratio between the total number of defended thesis written by students under full time status and the total number of defended theses in the programme (IPD18.2.1)	2021/2022	66.67
Percentage of defended thesis written by partial-time students Ratio between the total number of defended thesis written by students under partial time status and the total number of defended theses in the programme (IPD18.2.2)	2021/2022	0
Percentage of defended thesis written by students under mixed status Ratio between the total number of defended thesis written by students under mixed status and the total number of defended theses in the programme (IPD18.2.3)	2021/2022	33.33
Total number of tesis written in Galician Total number of defended thesis linked to the programme written in Galician (IPD18.3.1)	2021/2022	0
Total number of tesis written in Spanish Total number of defended thesis linked to the programme written in Spanish (IPD18.3.2)	2021/2022	0
Total number of tesis written in other languages Total number of defended thesis linked to the programme written in other languages (IPD18.3.3)	2021/2022	3
Average duration of studies of full-time students Average duration of studies for students under full time status who defended a thesis (in days) (IPD18.4.1)	2021/2022	1,628
Average duration of studies of partial-time students Average duration of studies for students under half time status who defended a thesis (in days) (IPD18.4.2)	2021/2022	n/a
Average duration of studies of students under mixed time status Average duration of studies for students under mixed time status who defended a thesis (in days) (IPD18.4.3)	2021/2022	1,560
Success rate. Percentage of students who defended their theses without asking for an extension Ratio between the number of doctoral students who defended their theses without asking for an extension and the total number of defended thesis linked to the programme (IPD18.5.1)	2021/2022	0
Success rate. Percentage of students who defended their theses after asking for the first extension Ratio between the number of doctoral students who defended their theses after asking for the first extension and the total number of defended thesis linked to the programme (IPD18.5.2)	2021/2022	66.67
Success rate. Percentage of students who defended their theses after asking for the second extension Ratio between the number of doctoral students who defended their theses after asking for the second extension and the total number of defended thesis linked to the programme (IPD18.5.3)	2021/2022	33.33
Percentage of "cum laude" theses Ratio between the number of defended theses linked to the programme with "Cum Laude" qualification and the total number of defended thesis linked to the programme (IPD18.6)	2021/2022	100
Percentage of theses with International Component Ratio between the number of defended theses linked to the programme with International Component and the total number of defended thesis linked to the programme (IPD18.7)	2021/2022	100
Dropout rate Ratio between the number of doctoral students who cause permanent withdrawal from the X course and the total number of doctoral students who could re-enroll in this programme. (IPDx21)	2021/2022	27.27

	Period	Value
Places offered Number of places for new students entering PhD (IPD01)	2020/2021	8
Demand Number of applicants for PhD admission (IPD02)	2020/2021	6
First-time enrollment Number of first-time enrollment students in PhD (IPD03)	2020/2021	5
First-time enrollment by adaptation Number of first-time enrollment students in the program or students coming from other studies in extinction (IPD03.1)	2020/2021	0
Total enrollment Total number of students enrolled (IPD04)	2020/2021	17
First-time enrollment coming from other universities Ratio between the number of first-time enrolled students coming from other universities and the total number of first-time enrolled students in the program (IPD05)	2020/2021	100
Percentage of foreign students Ratio between the number of foreign students enrolled and the total number of students enrolled in the programme (IPD06)	2020/2021	17.65
Percentage of first-time enrolled students who need training complements Ratio between the number of students enrolled who need training complements and the total number of new students enrolled in the programme (IPD07)	2020/2021	0
Percentage of full-time enrollees Ratio between the number of students under full time status and the number of students enrolled in the programme (IPD08.1)	2020/2021	58.82
Percentage of partial-time enrollees Ratio between the number of students under half time status and the number of students enrolled in the programme (IPD08.2)	2020/2021	0
Percentage of enrollees under mixed status Ratio between the number of students under mixed status and the number of students enrolled in the programme (IPD08.3)	2020/2021	41.18
Percentage of enrollees who carried out a stay passed by the CAPD (Outgoing) Ratio between the number of students who carried out a stay as visiting researchers passed by the CAPD (outgoing students) and the total number of students enrolled in the programme (IPD09.1)	2020/2021	n/a
Percentage of enrollees who carried out a stay passed by the CAPD at UDC (Incoming) Number of students who carried out a stay as visiting researchers passed by the CAPD (incoming students) (IPD09.2)	2020/2021	n/a
Percentage of enrollees with a grant or pre-doctoral contract Ratio between the number of students with a grant or pre-doctoral contract and the number of students enrolled in the programme (IPD11)	2020/2021	52.94
Percentage of theses defended by students who had several directors Ratio between the number of theses defended by students of the programme who had several directors and the total number of defended theses in the programme (IPD14)	2020/2021	66.67
Percentage of examination board members coming from an foreign institution Ratio between the number of examination board members of thesis linked to the programme coming from an foreign institution and the total umber of examination board members of thesis linked to the programme (IPD17)	2020/2021	11.11
Total number of defended thesis Total number of defended thesis linked to the programme (IPD18.1)	2020/2021	3
Percentage of defended thesis written by full-time students Ratio between the total number of defended thesis written by students under full time status and the total number of defended theses in the programme (IPD18.2.1)	2020/2021	66.67
Percentage of defended thesis written by partial-time students Ratio between the total number of defended thesis written by students under partial time status and the total number of defended theses in the programme (IPD18.2.2)	2020/2021	0
Percentage of defended thesis written by students under mixed status Ratio between the total number of defended thesis written by students under mixed status and the total number of defended theses in the programme (IPD18.2.3)	2020/2021	33.33
Total number of tesis written in Galician Total number of defended thesis linked to the programme written in Galician (IPD18.3.1)	2020/2021	0
Total number of tesis written in Spanish Total number of defended thesis linked to the programme written in Spanish (IPD18.3.2)	2020/2021	0
Total number of tesis written in other languages Total number of defended thesis linked to the programme written in other languages (IPD18.3.3)	2020/2021	3
Average duration of studies of full-time students Average duration of studies for students under full time status who defended a thesis (in days) (IPD18.4.1)	2020/2021	1,502
Average duration of studies of partial-time students Average duration of studies for students under half time status who defended a thesis (in days) (IPD18.4.2)	2020/2021	n/a
Average duration of studies of students under mixed time status Average duration of studies for students under mixed time status who defended a thesis (in days) (IPD18.4.3)	2020/2021	2,009
Success rate. Percentage of students who defended their theses without asking for an extension Ratio between the number of doctoral students who defended their theses without asking for an extension and the total number of defended thesis linked to the programme (IPD18.5.1)	2020/2021	0
Success rate. Percentage of students who defended their theses after asking for the first extension Ratio between the number of doctoral students who defended their theses after asking for the first extension and the total number of defended thesis linked to the programme (IPD18.5.2)	2020/2021	33.33
Success rate. Percentage of students who defended their theses after asking for the second extension Ratio between the number of doctoral students who defended their theses after asking for the second extension and the total number of defended thesis linked to the programme (IPD18.5.3)	2020/2021	66.67
Percentage of "cum laude" theses Ratio between the number of defended theses linked to the programme with "Cum Laude" qualification and the total number of defended thesis linked to the programme (IPD18.6)	2020/2021	100
Percentage of theses with International Component Ratio between the number of defended theses linked to the programme with International Component and the total number of defended thesis linked to the programme (IPD18.7)	2020/2021	100
Dropout rate Ratio between the number of doctoral students who cause permanent withdrawal from the X course and the total number of doctoral students who could re-enroll in this programme. (IPDx21)	2020/2021	9.09

theses

Aprendizaje sensible al coste para riesgo de crédito
Castiñeiras Rella, Jorge

Modelos single-index de curación de tipo mixtura con datos de alta dimensión
Piñeiro Lamas, Beatriz

Nuevas contribuciones metodológicas en aprendizaje estadístico para series de tiempo
López Oriona, Ángel

Sistemas de apoyo a la decisión en problemas de planificación y rutas para una empresa de servicios
Méndez Fernández, Isabel

Estimación no paramétrica de probabilidad de mora en riesgo de crédito.
Peláez Suárez, Rebeca

Estimación no paramétrica para modelos de curación de tipo mixtura cuando el indicador de cura es parcialmente conocido
Safari, Wende Clarence

Contribuciones metodológicas en modelos de regresión semiparamétricos para datos funcionales.
Novo Díaz, Silvia

Estimación no paramétrica de la densidad y la regresión para muestras de gran tamaño
Barreiro Ures, Daniel

INFERENCIA NO PARAMÉTRICA PARA DATOS SESGADOS DE GRAN VOLUMEN
Borrajo López, Laura

Inferencia no paramétrica para modelos de regresión con errores espacialmente correlados
Meilán Vila, Andrea

Optimización y reparto en algunos problemas de decisión multi-agente o con elementos estocásticos
Gonçalves Dosantos, Juan Carlos

Métodos bootstrap exactos en la estimación no paramétrica de curvas
Barbeito Cal, Inés

Aprendizaje Estadístico en Datos Complejos y Temporales: Distancias, Test de dos muestras, Clustering, Clasificación y Big Data
Montero Manso, Pablo

Nuevas aportaciones del análisis de datos funcionales en el control estadísticos de procesos
Flores Sánchez, Miguel Alfonso

Inferencia no paramétrica en modelos de curación de tipo mixtura
López Cheda, Ana

publications

This is a sample of the scientific production of the PhD students and is intended to guide prospective students interested in this program. Under no circumstances should it be considered a full and exhaustive list of all the scientific production of the students. The information is supplied by the PhD students themselves in a relatively unstructured manner but it has been checked and approved by the academic committee.

Artículos en revistas internacionales

Jorge C-Rella, Ricardo Cao, Juan M. Vilar, Cost-sensitive thresholding over a two-dimensional decision region for fraud detection, Information Sciences, Volume 657, 2024, 119956, ISSN 0020-0255, https://doi.org/10.1016/j.ins.2023.119956.

Diz-Rosales, N., Lombardía, M.J., Morales, D. 2024. Poverty Mapping Under Area-Level Random Regression Coefficient Poisson Models. Journal of Survey Statistics and Methodology, 12(2), 404-434.

Otras publicaciones

Diz-Rosales, N., Lombardía, M.J., Morales, D. 2024. Analyzing the COVID-19 intensive care unit bed occupancy with random regression coefficient Poisson models. Research Square (Preprint), v1_covered_a81e074e-6e68-4b20-a530-d406274db341.pdf (researchsquare.com)

Diz-Rosales, N., Lombardía, M.J., Morales, D. (2024). An statistical analysis of COVID-19 intensive care unit bed occupancy data. arXiv[2404.18493] An statistical analysis of COVID-19 intensive care unit bed occupancy data (arxiv.org)

Artículos en revistas internacionales

López-Oriona, Á., & Vilar, J. A. (2021). Quantile cross-spectral density: A novel and effective tool for clustering multivariate time series. Expert Systems with Applications185, 115677.

López-Oriona, Á., & Vilar, J. A. (2021). Outlier detection for multivariate time series: A functional data approach. Knowledge-Based Systems233, 107527.

López-Oriona, Á., & Vilar, J. A. (2021). F4: an all-purpose tool for multivariate time series classification. Mathematics9(23), 3051.

López-Oriona, Á., D’Urso, P., Vilar, J. A., & Lafuente-Rego, B. (2021). Spatial weighted robust clustering of multivariate time series based on quantile dependence with an application to mobility during COVID-19 pandemic. IEEE Transactions on Fuzzy Systems30(9), 3990-4004.

López-Oriona, Á., Vilar, J. A., & D'Urso, P. (2022). Quantile-based fuzzy clustering of multivariate time series in the frequency domain. Fuzzy Sets and Systems443, 115-154.

López-Oriona, Á., D'Urso, P., Vilar, J. A., & Lafuente-Rego, B. (2022). Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques. International Journal of Approximate Reasoning150, 55-82.

López-Oriona, Á., & Vilar, J. A. (2022). The bootstrap for testing the equality of two multivariate time series with an application to financial markets. Information Sciences616, 255-275.

López-Oriona, Á., Vilar, J. A., & D’Urso, P. (2023). Hard and soft clustering of categorical time series based on two novel distances with an application to biological sequences. Information Sciences624, 467-492.

López-Oriona, Á., & Vilar, J. A. (2023). Machine learning for multivariate time series with the R package mlmts. Neurocomputing537, 210-235.

López-Oriona, Á., & Vilar, J. A. (2023). Ordinal Time Series Analysis with the R Package otsfeatures. Mathematics11(11), 2565.

López-Oriona, Á., Weiß, C. H., & Vilar, J. A. (2023). Two novel distances for ordinal time series and their application to fuzzy clustering. Fuzzy Sets and Systems, 108590.

Méndez-Fernández, Isabel, Lorenzo-Freire, Silvia, & González-Rueda, Ángel Manuel. 2023. An Adaptive Large Neighbourhood Search algorithm for a real-world Home Care Scheduling Problem with time windows and dynamic breaks. Computers & Operations Research.

Diz-Rosales, N., Lombardía, M.J., and Morales, D. (2023, accepted for publication). Poverty mapping under area-level random regression coefficient Poisson models. Journal of Survey Statistics and Methodology. DOI: 10.1093/jssam/smad036.

Piñeiro-Lamas, B., López-Cheda, A., Cao, R. et al. A cardiotoxicity dataset for breast cancer patients. Sci Data10, 527 (2023). https://doi.org/10.1038/s41597-023-02419-1

Artículos en revistas nacionales

Rodríguez Barreiro, M; Novo Pérez, M.A., Vaamonde Rivas, M., Ginzo Villamayor, M.J., Pérez Porras, F. (2022) Índice de riesgo de ocurrencia de incendios: una modificación del índice desarrollado por el ICONA en Galicia. Cuadernos de la Sociedad Española en Ciencias Forestales, 48(1):1-24

Capítulo de Libro

López-Oriona, Á., Montero-Manso, P., & Vilar, J. A. (2023, February). Clustering of Time Series Based on Forecasting Performance of Global Models. In Advanced Analytics and Learning on Temporal Data: 7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19–23, 2022, Revised Selected Papers (pp. 18-33). Cham: Springer International Publishing.

López-Oriona, Á., D'Urso, P., & Vilar, J. A. (2023). Unsupervised Classification of Categorical Time Series through Innovative Distances. 17th Conference of the International Federation of Classification Societies, IFCS 2022, Porto, Portugal, July 19–23, 2022, Revised Selected Papers, (pp-). Springer International Publishing.

Otras publicaciones

López-Oriona, Á., D’Urso, P., Vilar, J. A., & Lafuente-Rego, B. (2021). Robust Methods for Soft Clustering of Multidimensional Time Series. Engineering Proceedings7(1), 60.

López-Oriona, Á., & Vilar, J. A. (2022). The Bootstrap for Testing the Equality of Two Multivariate Stochastic Processes with an Application to Financial Markets. Engineering Proceedings18(1), 38.

López-Oriona, Á., & Vilar, J. A. (2021), An effective tool for clustering multivariate time series with an application to financial markets. XV Galician Conference on Statistics and Operations Research (SGAPEIO 2021), Santiago de Compostela, Spain, 4-6 November 2021. http://xvcongreso.sgapeio.es/descargas/actas-xvSGAPEIO.pdf

López-Oriona, Á., Vilar, J. A., & D’Urso, P. (2022), Unsupervised Classification of Cate- gorical Time Series through Innovative Distances. 4th International Conference on Statis- tics: Theory and Applications (ICSTA 2022), Prague, Czech Republic, 28-30 July 2022. https://avestia.com/ICSTA2022_Proceedings/files/paper/ICSTA_111.pdf

López-Oriona, Á., D’Urso, P., Vilar J. A., & Lafuente-Rego, B. (2021), Spatial weighted robust clustering of multivariate time series based on quantile dependence with an application to mobility during COVID-19 pandemic. 13th International Workshop on Fuzzy Logic and Applications (WILF 2021), Vietri sul Mare, Italy, 20-22 December 2021. http://ceur-ws.org/Vol-3074/paper07.pdf.

López-Oriona, Á., Weiss, C., & Vilar, J. A. (2023). Fuzzy clustering of ordinal time series based on two novel distances with economic applications. April 2023. arXiv: 2304.12249.

López-Oriona, Á., & Vilar, J. A. (2023). Ordinal time series analysis with the R package otsfeatures. April 2023. arXiv: 2304.12251.

López-Oriona, Á., & Vilar, J. A. (2023). Machine learning for multivariate time series with the R package mlmts. Engineering Proceedings.

López-Oriona, Á., Montero-Manso, P., & Vilar, J. A. (2023). Clustering of time series based on forecasting performance of global models. Engineering Proceedings.

López-Oriona, Á., & Vilar, J. A. (2022), Machine learning for multivariate time series with the R package mlmts. Joint Statistical Meetings (JSM 2022), Washington D.C., USA, 6-11 August 2022.

López-Oriona, Á., Weiss, C., & Vilar, J. A. (2023), Fuzzy clustering of ordinal time series based on two novel distances. 5th International Conference on Statistics: Theory and Applications (ICSTA 2023), London, United Kingdom, 3-5 August 2023.

López-Oriona, Á., Weiss, C., & Vilar, J. A. (2023), Fuzzy clustering of ordinal time series based on two novel distances with economic applications. Joint Statistical Meetings (JSM 2023), Toronto, Canada, 5-10 August 2023.

López-Oriona, Á., & Vilar, J. A. (2023). Analyzing categorical time series with the R package ctsfeatures. April 2023. arXiv: 2304.12332.

López-Oriona, Á, Montero-Manso, P., & Vilar, J.A. (2023). Time series clustering based on prediction accuracy of global forecasting models. April 2023. arXiv: 2305.00473.

López-Oriona, Á., Vilar, J. A., & D'Urso. P. (2023). New bootstrap tests for categorical time series. A comparative study. April 2023. arXiv: 2305.00465.

Artículos en revistas internacionales

Safari, WC, López-de-Ullibarri, I., & Jácome, MA (2021e). A product-limit estimator of the conditional survival function when cure status is partially known. Biometrical Journal, 63 (5), 984–1005. doi: 10.1002 / bimj.202000173

Safari, WC, López-de-Ullibarri, I., & Jácome, MA (2021b). Nonparametric inference for mixture cure model when cure information is partially available. Engineering Proceedings, 7 (1), 17

Randera-Rees, S., Safari, WC, Gareta, D., Herbst, K., Baisley, K., & Grant, AD (2021). Can we see the missing men in clinics? clinic attendance by sex and hiv status in rural south africa. Wellcome Open Research, 6 (169), 169.

Muchene, L., & Safari, WC (2021). Two-stage topic modeling of scienti? C publications: A case study of the University of Nairobi, Kenya. Plos one, 16 (1). doi: https://doi.org/10.1371/journal.pone.0243208

Safari, WC, Urassa, M., Mtenga, B., Changalucha, J., Beard, J., Church, K., and Todd, J. (2019). Contraceptive use and discontinuation among women in rural North-West Tanzania. Contraception and reproductive medicine, 4 (1), 1–10. doi: 10.1186 / s40834-019-0100-6

Peláez, R., Cao, R. and Vilar, J.M. (2022) Bootstrap bandwidth selection and confidence regions for double smoothed default probability estimation. Mathematics, 10(9), 1523.

Peláez, R., Cao, R. and Vilar, J.M. (2022). Nonparametric estimation of the conditional survival function with double smoothing. Journal of Nonparametric Statistics. DOI:10.1080/10485252.2022.2102631

Notas

Safari, W. C., López-de-Ullibarri, I., & Jácome, M. A. (2021d). Nonparametric kernel estimation of the probability of cure in a mixture cure model when the cure status is partially observed. Under revision. Retrieved from https://dm.udc.es/preprint/NP_cure_rate_estimation_MCM_preprint.pdf

Safari, WC, López-de-Ullibarri, I., and Jácome, MA (2021). A product-limit estimator of the conditional survival function when cure status is partially known. Biometrical Journal.

Otras publicaciones

Peláez, R., Cao, R. and Vilar, J.M. (2021)Bootstrap bandwidth selector for the smoothing parameter of Beran's estimator. Proceedings of IV XoveTIC at CITIC (UDC). Engineering Proceedings, 7(1), 28; doi: https://doi.org/10.3390/engproc2021007028

Peláez R., Van Keilegom, I. Cao, R. and Vilar, J.M. (2022) Mixture cure models approach to estimating the probability of default in credit risk. In: Ana María Aguilera del Pino, Víctor Blanco, Juan Eloy Ruiz Castroy María Dolores Ruiz Medina (eds) Proceeding book of XXXIX Congreso Nacional de Estadística e Investigación Operativa. ISBN: 978-84-09-41628-8

Peláez, R., Cao, R. and Vilar, J.M. (2021) Automatic selector for the smoothing parameter of Beran's estimator via bootstrap resampling. XV Congreso Galego de Estatística e Investigacióon de Operacións, Book of abstracts. Organising committee (eds) I.S.B.N.: 978-84-09-35306-4

Artículos en revistas internacionales

Nonparametric multiple regression estimation for circular response. TEST, DOI: 10.1007/s11749-020-00736-w

Nonparametric estimation of circular trend surfaces with application to wave directionsStochastic Environmental Research and Risk Assessment, DOI: 10.1007/s00477-020-01919-5

Borrajo L., and Cao R. (2021). Nonparametric Estimation for Big-But-Biased Data. TEST, to appear. https://doi.org/10.1007/s11749-020-00749-5

Borrajo L., and Cao R. (2020). Big-But-Biased Data Analytics for Air Quality. Electronics, 9(9), 1551. https://doi.org/10.3390/electronics9091551

Novo, S., Aneiros, G., and Vieu, P., (2021). A kNN procedure in semiparametric functional data analysis, Statistics & Probability Letters, 171, https://doi.org/10.1016/j.spl.2020.109028.

Artículos en revistas nacionales

Rebeca Peláez, Ricardo Cao, Juan M. Vilar (2021) Nonparametric estimation of the probability of default with double smoothing, SORT, to appear.

Artículos en revistas internacionales

Barreiro‐Ures, DFrancisco‐Fernández, MCao, R, et al. Analysis of interval‐grouped data in weed science: The binnednp Rcpp packageEcol Evol201900113https://doi.org/10.1002/ece3.5448

Barreiro-Ures D, Cao, R, Francisco-Fernández, M and Reyes, M. Kernel distribution estimation for grouped data. SORT-Statistics and Operations Research Transactions, 43 (2019).

Inés Barbeito, Ricardo Cao & Dimitris Politis(2019)Bootstrap confidence intervals for conditional density function in Markov processes,Communications in Statistics - Simulation and Computation,DOI: 10.1080/03610918.2019.1642487

Barbeito, ICao, RNonparametric curve estimation and bootstrap bandwidth selectionWIREs Comput Stat2019;e1488. https://doi.org/10.1002/wics.1488

Gonçalves-Dosantos, J. C., I. García-Jurado, and J. Costa. "Sharing delay costs in stochastic scheduling problems with delays." 4OR (2020) https://doi.org/10.1007/s10288-019-00427-9

Alonso-Meijide, J. M.,Costa, J., García-Jurado, I., and Gonçalves-Dosantos, J. C. (2020). "On egalitarian values for cooperative games with a priori unions." TOP (2020) https://doi.org/10.1007/s11750-020-00553-2

Title: A heuristic approach to the task planning problem in a home care business Journal: Health Care Management Science, (), 1-15 DOI: 10.1007/s10729-020-09509-1

Novo, S., Aneiros, G. e Vieu, P., (2020) Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables, TEST, https://doi.org/10.1007/s11749-020-00728-w.

Meilán-Vila, A., Opsomer, J.D., Francisco-Fernández, M. et al. A goodness-of-fit test for regression models with spatially correlated errors. TEST29, 728–749 (2020).

Artículos en revistas nacionales

Peláez Suárez, R., Cao Abad, R. & Vilar Fernández, J.M. Probability of default estimation in credit risk using a nonparametric approach. TEST (2020). https://doi.org/10.1007/s11749-020-00723-1

Capítulo de Libro

Título do libro: Functional and High-Dimensional Statistics and Related FieldsEditores: Germán Aneiros, Ivana Horová, Marie Hušková and Philippe VieuTítulo do capítulo: Variable Selection in Semiparametric Bi-functional Models.Autores: Silvia Novo, Germán Aneiros and Philippe VieuAno de publicación: 2020Editorial: Springer

Notas

Contraceptions

Otras publicaciones

Peláez Suárez, R., Cao Abad, R. and Vilar Fernández, J.M. (2019) Nonparametric methods to estimate the probability of default. Proceedings of the 2nd Spanish Young Statisticians and Operational Researchers Meeting

Peláez Suárez, R., Cao Abad, R. and Vilar Fernández, J.M. (2019) Probability of default estimation using a nonparametric approach. In: Arregui I., García J.A., Vázquez C. (eds) Third International Conference on Computational Finance. Book of abstracts. ISBN: 978–84–9749–725–1.

Peláez Suárez, R., Cao Abad, R. and Vilar Fernández, J.M. (2019) Estimación no paramétrica de la probabilidad de mora vía análisis de supervivencia. In: Vallado E., Ruiz R. (eds) Actas del XXXVIII Congreso Nacional de Estadística e Investigación Operativa. ISBN: 978-84-09- 13580-6

Peláez Suárez, R., Cao Abad, R. amd Vilar Fernández, J.M. (2019) Nonparametric estimation of the probability of default in credit risk. Actas del XIV Congreso Galego de Estatística e Investigación de Operacións. ISBN: 978-84-09-15581-1

Meilán-Vila, A., Fernández-Casal, R., & Francisco-Fernández, R. M. (2020). A computational validation for nonparametric assessment of spatial trends. arXiv preprint arXiv:2002.05489

Meilán-Vila, A., Francisco-Fernández, M., Crujeiras, R. M., & Panzera, A. (2020). Nonparametric multivariate regression estimation for circular responses. arXiv preprint arXiv:2001.10317

Meilán-Vila, A., Francisco-Fernández, M., & Crujeiras, R. M. (2020). Goodness-of-fit tests for parametric regression models with circular response. arXiv preprint arXiv:2008.13473

Artículos en revistas internacionales

Inés Barbeito & Ricardo Cao(2018)Smoothed bootstrap bandwidth selection for nonparametric hazard rate estimation,Journal of Statistical Computation and Simulation,DOI: 10.1080/00949655.2018.1532512

Novo, S., Aneiros, G., and Vieu, P. (2019), Automatic and location-adaptive estimation in functional single-index regression, Journal of Nonparametric Statistics, 31(2), 364-392

Artículos en revistas internacionales

López-Cheda, A., Jácome, M. A., Van Keilegom, I. and Cao, R. (2018). Nonparametric covariate significance tests for the incidence in cure models. Submitted to Biometrics.

M. Flores, Rubén Fernández-Casal, S. Naya, J. Tarrío-Saavedra, R. Bossano., 2018, ILS: Un paquete R para el análisis estadístico en estudios interlaboratorio, quimiometría y sistemas de laboratorio inteligentesVolumen 181, 15 de octubre de 2018, páginas 11-20.

M. Flores, Naya S., J. Tarrío-Saavedra, R. Fernández-Casal, enfoque 2.017 análisis de datos funcionales de H y K estadísticas de Mandel en estudios entre laboratorios, quimiometría y sistemas inteligentes LaboratorioVolumen 176, 15 de mayo de 2018, páginas 134-148

G.I. Novoa Flores, L. Carpente y S. Lorenzo – Freire. Optimizing the production schedule of an agricultural cooperative: a case study. Enviado a Engineering Optimization.

Capítulo de Libro

Barbeito I., Cao R. (2017) A Review and Some New Proposals for Bandwidth Selection in Nonparametric Density Estimation for Dependent Data. In: Ferger D., González Manteiga W., Schmidt T., Wang JL. (eds) From Statistics to Mathematical Finance. Springer, Cham. DOI: https://doi.org/10.1007/978-3-319-50986-0_10

Cao R. and Borrajo L. (2018). Nonparametric Mean Estimation for Big-But-Biased Data. In: Gil E., Gil E., Gil J., Gil M. (eds) The Mathematics of the Uncertain. Studies in Systems, Decision and Control, vol 142, 55-65. Springer, Chamhttps://doi.org/10.1007/978-3-319-73848-2_5

Artículos en revistas internacionales

Barbeito, I. Zaragoza, S., Tarrío-Saavedra, J. and Naya, S. (2017). Assessing thermal comfort and energy efficiency in buildings by statistical quality control for autocorrelated data. Applied Energy. 190, 1-17.

Ana López-Cheda, M. Amalia Jácome, Ricardo Cao (2017). Nonparametric latency estimation for mixture cure models. TEST, 26, 353-376.DOI: 10.1007/s11749-016-0515-1

Capítulo de Libro

M. Flores, S. Naya, J. Tarrío-Saavedra, R. Fernández-Casal. Functional data analysis approach of Mandel’s h and k statistics in Interlaboratory Studies. En Germán Aneiros, Enea G. Bongiorno , Ricardo Cao, y Philippe Vieu (Eds.), Functional Statistics and Related Fields (pp. 123–130). Gewerbestrasse: Springer. 2017.

Recensiones

Communications in Statistics - Simulation and Computation

Artículos en revistas internacionales

Ana López-Cheda, Ricardo Cao, M. Amalia Jácome, Ingrid Van Keilegom (2017). Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models. Computational Statistics and Data Analysis, 105, 144-165.DOI: 10.1016/j.csda.2016.08.002

Salvador Naya, Andrés Devia-Rivera, Javier Tarrío-Saavedra, y Miguel Flores (2016). Nueva propuesta de índices de capacidad robustos para el control de la calidad. DYNA Ingenieria e Industria.

Barbeito, I. and Cao, R. (2016). Smoothed stationary bootstrap bandwidth selection for density estimation with dependent data. Computational Statistics & Data Analysis. 104, 130-147.

Recensiones

Advances in Data Analysis and Classification (ADAC)

Artículos en revistas internacionales

Naya, S., Tarrío-Saavedra, S. Saragoza, M., Flores, M. Oviedo. Statistical Quality Control with Functional Data. An application to Energy Efficiency. at the 60th ISI World Statistics Congress (WSC) held from 26 - 31 July 2015 in Rio de Janeiro, RJ, Brazil

Artículos en revistas internacionales

Naya, S., Tarrío-Saavedra. J., López-Beceiro, J., Francisco Fernández, M., Flores, M. y Artiaga, R. Statistical functional approach for interlaboratory studies with thermal data.Journal of Thermal Analysis and Calorimetry118 (2014) , 2 , 1229-1243

Offer places

academic year 2023/2024
General offer	8

PhD in Statistics and Operational Research

2024/2025

Learning outcomes

Quality assurance

Committees

theses

publications