english

PhD in Statistics and Operational Research

2023/2024

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.

Learning outcomes

The International Doctoral School IQAS sets out the standards and indicators applied by Academic Committees in relation to UDC PhD programmes for the measurement and analysis of learning outcomes and academic standards.

These indicators include the number of doctoral theses defended, ‘International Doctorate’ certifications awarded, PhDs completed within the published time scale (3-4 years), PhDs awarded and PhDs abandoned, in addition to the average timescale for completion of the degree.

Quality assurance

To ensure that the title is developed in accordance with the verification report presented the center conducts an annual monitoring report in accordance with the procedures of the center IQAS and results. This report is reviewed by the ACSUG, external evaluation agency.

The outcome of this analysis will emerge corrective actions and improvement proposals that achieve the intended objectives and the improvement of the degree.

Committees

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

Francisco Fernández, Mario
Coordinador
García Jurado, Ignacio Miguel
Vocal PDI
Jácome Pumar, María Amalia
Vocal PDI

Program tracking facts

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 0
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 0
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 0
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
Period Value
Places offered
Number of places for new students entering PhD (IPD01)		 2019/2020 8
Demand
Number of applicants for PhD admission (IPD02)		 2019/2020 7
First-time enrollment
Number of first-time enrollment students in PhD (IPD03)		 2019/2020 4
First-time enrollment by adaptation
Number of first-time enrollment students in the program or students coming from other studies in extinction (IPD03.1)		 2019/2020 0
Total enrollment
Total number of students enrolled (IPD04)		 2019/2020 15
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)		 2019/2020 75
Percentage of foreign students
Ratio between the number of foreign students enrolled and the total number of students enrolled in the programme (IPD06)		 2019/2020 13.33
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)		 2019/2020 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)		 2019/2020 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)		 2019/2020 13.33
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)		 2019/2020 20
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)		 2019/2020 20
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)		 2019/2020 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)		 2019/2020 33.33
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)		 2019/2020 0
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)		 2019/2020 33.33
Total number of defended thesis
Total number of defended thesis linked to the programme (IPD18.1)		 2019/2020 1
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)		 2019/2020 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)		 2019/2020 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)		 2019/2020 0
Total number of tesis written in Galician
Total number of defended thesis linked to the programme written in Galician (IPD18.3.1)		 2019/2020 0
Total number of tesis written in Spanish
Total number of defended thesis linked to the programme written in Spanish (IPD18.3.2)		 2019/2020 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)		 2019/2020 1
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)		 2019/2020 1,729
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)		 2019/2020 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)		 2019/2020 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)		 2019/2020 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)		 2019/2020 0
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)		 2019/2020 100
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)		 2019/2020 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)		 2019/2020 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)		 2019/2020 20

theses

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.
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 2022/2023
General offer 8