Publications (41)

2022

  1. Constrained Naïve Bayes with application to unbalanced data classification

    Central European Journal of Operations Research, Vol. 30, Núm. 4, pp. 1403-1425

2021

  1. Variable selection for Naïve Bayes classification

    Computers and Operations Research, Vol. 135

  2. On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19

    European Journal of Operational Research, Vol. 295, Núm. 2, pp. 648-663

  3. Analysis of an aggregate loss model in a Markov renewal regime

    Applied Mathematics and Computation, Vol. 396

  4. A cost-sensitive constrained Lasso

    Advances in Data Analysis and Classification, Vol. 15, Núm. 1, pp. 121-158

  5. A bivariate two-state Markov modulated Poisson process for failure modeling

    Reliability Engineering and System Safety, Vol. 208

2020

  1. Integer constraints for enhancing interpretability in linear regression

    Sort: Statistics and Operations Research Transactions, Vol. 44, Núm. 1, pp. 69-78

  2. Embedding the production policy in location-allocation decisions

    4OR, Vol. 18, Núm. 3, pp. 357-380

2019

  1. Findings about the BMMPP for modeling dependent and simultaneous data in reliability and queueing systems

    Applied Stochastic Models in Business and Industry

  2. On support vector machines under a multiple-cost scenario

    Advances in Data Analysis and Classification, Vol. 13, Núm. 3, pp. 663-682

  3. Fitting procedure for the two-state Batch Markov modulated Poisson process

    European Journal of Operational Research, Vol. 279, Núm. 1, pp. 79-92

  4. Cost-sensitive Feature Selection for Support Vector Machines

    Computers and Operations Research, Vol. 106, pp. 169-178

2018

  1. Simultaneous risk events modeling by the Batch Markov-modulated poisson process

    Contributions to risk analysis: risk 2018 (Fundación MAPFRE), pp. 301-306

2017

  1. Mathematical Optimization to select factures and classify when sensitivity and specificity may not equally important

    CEB 2017: XVI Spanish Biometric Conference

  2. A proposal of sparse Naïve Bayes

    CEB 2017: XVI Spanish Biometric Conference

  3. Bayesian analysis of the stationary MAP2

    Bayesian Analysis, Vol. 12, Núm. 4, pp. 1163-1194

  4. A sparsity-controlled vector autoregressive model

    Biostatistics, Vol. 18, Núm. 2, pp. 244-259

2016

  1. Nonidentifiability of the Two-State BMAP

    Methodology and Computing in Applied Probability, Vol. 18, Núm. 1, pp. 81-106

  2. Dependence patterns for modeling simultaneous events

    Reliability Engineering and System Safety, Vol. 154, pp. 19-30

  3. Analytical issues regarding the lack of identifiability of the non-stationary MAP2

    Performance Evaluation, Vol. 102, pp. 1-20