Complete list of publications

• Berrendero, J.R., Bueno-Larraz, B. and Cuevas, A. (2023). On functional logistic regression: some conceptual issues. TEST, 32, 321-349.
  Paper (open access)

• Berrendero, J.R., Bueno-Larraz, B. and Cuevas, A. (2020). On Mahalanobis distance in functional settings. Journal of Machine Learning Research, 21, 1-33.
  Paper (open access)

• Berrendero, J.R. and Cárcamo, J. (2019). Linear components of quadratic classifiers. Advances in Data Analysis and Classification, 13, 347-377.
  Preprint | doi

• Berrendero, J.R., Bueno-Larraz, B. and Cuevas, A. (2019). An RKHS model for variable selection in functional linear regression. Journal of Multivariate Analysis, 170, 22-45.
  Preprint | doi

• Berrendero, J.R., Cuevas, A. and Torrecilla, J.L. (2018). On the use of reproducing kernel Hilbert spaces in functional classification. Journal of the American Statistical Association, 113, 1210-1218.
  Preprint | Supplementary material | doi | SEIO - BBVA Foundation Award 2022, Best methodological contribution in the Statistics field.

• Muelas, D., López de Vergara, J.E., Berrendero, J.R., Ramos, J. and Aracil, J. (2017). Facing network management challenges with functional data analysis: techniques and opportunities. Mobile Networks and Applications, 22, 1124-1136.
  Preprint | doi

• Barba, I., Miró-Casas, E., Torrecilla, J.L., Pladevall, E., Tejedor, S., Sebastián-Pérez, R., Ruiz-Meana, M., Berrendero, J.R., Cuevas, A. and García-Dorado, D. (2017). High Fat Diet Induces Metabolic Changes and Reduces Oxidative Stress in Female Mouse Hearts. Journal of Nutritional Biochemistry, 40, 187-193.
  Preprint | doi

• Berrendero, J.R., Cuevas, A. and Pateiro-López, B. (2016). Shape classification based on interpoint distance distributions. Journal of Multivariate Analysis, 146, 237-247.
  Preprint | doi

• Berrendero, J.R., Cuevas, A. and Torrecilla, J.L. (2016). Variable selection in functional data classification: a maxima-hunting proposal. Statistica Sinica, 26, 619-638.
  Preprint | doi

• Berrendero, J.R., Cuevas, A. and Torrecilla, J.L. (2016). The mRMR variable selection method: a comparative study for functional data. Journal of Statistical Computation and Simulation, 86, 891-907.
  Preprint | Supplementary material | doi

• Muelas, D., López de Vergara, J.E., Berrendero, J.R. and Aracil, J. (2015). Análisis funcional para gestión de red: técnicas, retos y oportunidades. Actas de las XII Jornadas de Ingeniería Telemática, Jitel’2015 (ISBN: 978-84-606-8609-5), 197-204.
  Link

• Muelas, D., López de Vergara, J.E. and Berrendero, J.R. (2015). Functional Data Analysis: A step forward in Network Management. Proceedings of IFIP/IEEE International Symposium on Integrated Network Management, IM’2015 (ISBN: 978-3-901882-76-0), 882-885.
  Preprint | doi

• Berrendero, J.R. (2015). Simulación e inferencia estadística. La Gaceta de la RSME, 18, 45-65.
  Preprint

• Berrendero, J.R., Cholaquidis, A., Cuevas, A. and Fraiman, R. (2014). A geometrically motivated parametric model in manifold estimation. Statistics, 48, 983-1004.
  Preprint | doi

• Berrendero, J.R. and Cárcamo, J. (2013). Reply to Baker (2013), letter to the editor, The American Statistician, 67, 65.

• Berrendero, J.R. and Cárcamo, J. (2012). The tangent classifier. The American Statistician, 66, 185-194.
  Preprint | doi

• Berrendero, J.R., Cuevas, A. and Pateiro-López, B. (2012). Testing uniformity for the case of a planar unknown support. Canadian Journal of Statistics, 40, 378-395.
  Preprint | doi

• Berrendero, J.R. and Cárcamo, J. (2012). Tests for stochastic orders and mean order statistics. Communications in Statistics -Theory and Methods, 41, 1497-1509.
  Preprint | doi

• Berrendero, J.R., Cuevas, A. and Pateiro-López, B. (2012). A multivariate uniformity test for the case of unknown support. Statistics and Computing, 22, 259-271.
  Preprint | doi

• Aldea, M., Clofent, J., Núñez de Arenas, C., Chamorro, M., Velasco, M., Berrendero, J.R., Navarro, C. and Cuezva, J.M. (2011). Reverse Phase Protein Microarrays Quantify and Validate the Bioenergetic Signature as Biomarker in Colorectal Cancer. Cancer Letters, 311, 210-218.
  Preprint | doi

• Berrendero, J.R, Justel, A. and Svarc, M. (2011). Principal components for multivariate functional data. Computational Statistics and Data Analysis, 55, 2619-2634.
  Preprint | doi

• Berrendero, J.R. and Cárcamo, J. (2011). Tests for the second order stochastic dominance based on L-statistics. Journal of Business and Economic Statistics, 29, 260-270.
  Preprint | doi

• Baíllo, A., Berrendero, J.R. and Cárcamo, J. (2009). Tests for zero inflation and overdispersion: a new approach based on the stochastic convex order. Computational Statistics and Data Analysis, 53, 2628-2639.
  Preprint | doi

• Berrendero, J.R. and Cárcamo, J. (2009). Characterizations of exponentiality within the HNBUE class and related tests. Journal of Statistical Planning and Inference, 139, 2399-2406.
  Preprint | doi

• López-Ríos, F., Sánchez-Aragó, M., García-García, E., Ortega, A.D., Berrendero, J.R., Pozo-Rodríguez, F., López-Encuentra, A., Ballestín, C. and Cuezva, J.M. (2007). Loss of the mitochondrial bioenergetic capacity underlies the glucose aditivity of carcinomas. Cancer Research, 67, 9013-9017.
  Preprint | doi

• Berrendero, J.R. (2007). The bagged median and the bragged mean. The American Statistician, 61, 325-330.
  Preprint | doi

• Berrendero, J.R., Mendes, B.V.M. and Tyler, D.E. (2007). On the maximum bias functions of MM-estimates and constrained M-estimates of regression. The Annals of Statistics, 35, 13-40.
  Paper (open access)

• Berrendero, J.R., Cuevas, A. and Vázquez-Grande, F. (2006). Testing multivariate uniformity: the distance-to-boundary method. Canadian Journal of Statistics, 34, 693-707.
  Preprint | doi

• Alonso, A., Berrendero, J.R., Justel, A. and Hernández, A. (2006). Time series clustering based on forecast densities. Computational Statistics and Data Analysis, 51, 762-776.
  Preprint | doi

• Berrendero, J.R. and Zamar, R. (2006). A note on the uniform asymptotic normality of location M-estimates. Metrika, 63, 55-69.
  Preprint | doi

• Berrendero, J.R. (2004). Kolmogorov-Smirnov test, entry in An Eponymous Dictionary of Economics (a Guide to Laws and Theorems Named after Economists). Segura, J. and Rodríguez Braun, C. (editors). Edward Elgar (ISBN 18-437-6029-0).
  Preprint

• Berrendero, J.R. (2003). Uniform strong consistency of robust estimators. Statistics and Probability Letters, 64, 159-168.
  Preprint | doi

• Berrendero, J.R. (2002). On the global robustness of generalized S-estimators. Journal of Statistical Planning and Inference, 102, 287-302.
  Preprint | doi

• Adrover, J., Berrendero, J.R., Salibian-Barrera, M. and Zamar, R. (2002). Globally robust inference. Estadística, 54, 127-161.
  Preprint

• Berrendero, J.R., Cuevas, A., Delicado, P. y Romo, J. (2001). Euler, Matemáticas aplicadas a las ciencias sociales, 2º de Bachillerato. Ediciones SM (ISBN 84-348-7448-2).

• Berrendero, J.R. and Zamar, R. (2001). Maximum bias curves for robust regression with non-elliptical regressors. The Annals of Statistics, 29, 224-251.
  Paper (open access)

• Berrendero, J.R. and Zamar, R. (1999). Global robustness of location and dispersion estimates. Statistics and Probability Letters, 44, 63-72.
  doi

• Berrendero, J.R. and Romo, J. (1998). Stability under contamination of robust regression estimators based on differences of residuals. Journal of Statistical Planning and Inference, 70, 149-165.
  Preprint | doi

• Berrendero, J.R., Mazzi, S., Romo, J. and Zamar, R. (1998). On the explosion rate of maximum bias functions. Canadian Journal of Statistics, 26, 333-351.
  doi