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Artículos en 2019


  1. Aneiros, G., Cao, R., Vieu, P . Editorial on the Special Issue on Functional Data Analysis and Related Topics, Computational Statistics, 34 (2019), 2, 447-450.
  2. Beatriz Remeseiro, Javier Tarrío Saavedra, Mario Francisco-Fernández , Manuel G. Penedo, Salvador Naya, Ricardo Cao. Automatic detection of defective crankshafts by image analysis and supervised classification, The International Journal of Advanced Manufacturing Technology, 105 (2019), 9, 3761-3777.
  3. Castillo-Páez, S., Fernández-Casal, R., García-Soidán, P. A nonparametric bootstrap method for spatial data, Computational Statistics and Data Analysis, 137 (2019), 1-15.
  4. Daniel Barreiro-Ures, Mario Francisco-Fernández, Ricardo Cao, Basilio B. Fraguela, Ramón Doallo, Miguel Reyes. Analysis of interval-grouped data in weed science: The 2 binnednp Rcpp package, Ecology and Evolution, 9 (2019), 10903-10915.
  5. Germán Aneiros, Ricardo Cao, Ricardo Fraiman, Christian Genest, Philippe Vieu. Recent advances in functional data analysis and high-dimensional statistics, Journal of Multivariate Analysis, 170 (2019), 3-9.
  6. Germán Aneiros, Ricardo Cao, Ricardo Fraiman, Philippe Vieu. Editorial for the Special Issue on Functional Data Analysis and Related Topics, Journal of Multivariate Analysis, 170 (2019), 1-2.
  7. Ignacio García-Jurado, Luciano Méndez-Naya. Subgame Perfection and the Rule of k Names, Group Decision and Negotiation, 28 (2019), 4, 805-825.
  8. Ines Barbeito, Ricardo Cao, Dimitris Politis. Bootstrap confidence intervals for conditional density function in Markov processes, Communications in Statistics / Simulation and Computation, (2019), .
  9. José M. Alonso-Meijide, Julián Costa, Ignacio García-Jurado. Null, Nullifying, and Necessary Agents: Parallel Characterizations of the Banzhaf and Shapley Values, Journal of Optimization Theory and Applications, 180 (2019), 1027-1035.
  10. Luis Carral, Javier Tarrío-Saavedra, Salvador Naya, Aládar Rodríguez-Díaz . El Canal de Panamá ampliado: colaboración con la Universidad Marítima Internacional de Panamá, Galician MaritimeTechnologies by ACLUNAGA, 4 (2019), 8-11.
  11. Luisa Carpente, Ana Cerdeira-Pena, Silvia Lorenzo-Freire, Ángeles S. Place. Optimization in Sanger sequencing, Computers & Operations Research, 109 (2019), 250-262.
  12. M.Boubeta, M.J. Lombardía, M. Marey-Pérez, D. Morales. Poisson mixed models for predicting number of fires, International Journal of Wildland Fire, 28 (2019), 237-253.
  13. Manuel Febrero-Bande, Wenceslao González-Manteiga, Manuel Oviedo de la Fuente . Variable selection in functional additive regression models, Computational Statistics, 34 (2019), 2, 469–487.
  14. Manuel Oviedo de la Fuente. O paquete fda.usc, Boletín da SGAPEIO , 53 (2019), 5-6.
  15. Miguel Reyes, Mario Francisco-Fernández, Ricardo Cao, Daniel Barreiro-Ures. Kernel distribution estimation for grouped data, SORT-Statistics and Operations Research Transactions, 43 (2019), 2, 259-288.
  16. Novoa-Flores, G.I., Carpente, L., Lorenzo-Freire, S. Optimizing the production schedule of an agricultural cooperative: a case study, Engineering Optimization, (2019), 1-18.
  17. Pablo Montero-Manso, Laura Morán-Fernández, Verónica Bolón-Canedo, José A.Vilar, Amparo Alonso-Betanzos. Distributed classification based on distances between probability distributions in feature space, Information Sciences, 496 (2019), 431-450.
  18. Ricardo Cao. Comments on: Data science, big data and statistics, Test, 28 (2019), 3, 289-329.
  19. Silvia Lorenzo-Freire. On the Owen Value and the Property of Balanced Contributions Within Unions, Journal of Optimization Theory and Applications, 183 (2019), 2, 757-762.
  20. Silvia Novo, Germán Aneiros, Philippe Vieu. Automatic and location-adaptive estimation in functional single-index regression, Journal of Nonparametric Statistics, 31 (2019), 2, 364-392.
  21. Two-sample homogeneity testing: A procedure based on comparing distributions of interpoint distances. Pablo Montero-Manso, José A. Vilar, Statistical Analysis and Data Mining: The ASA Data Science Journal, 12 (2019), 3, 234-252.
  22. Yaroslava Robles-Bykbaev, Salvador Naya, Silvia Díaz-Prado, Daniel Calle-López, Vladimir Robles-Bykbaev, Luis Garzón, Clara Sanjurjo-Rodríguez, Javier Tarrío-Saavedra. An artificial-vision- and statistical-learning-based method for studying the biodegradation of type I collagen scaffolds in bone regeneration systems, PeerJ, (2019), .