PUBLICATIONS

IN JCR JOURNALS

  • Mendiola, M., Heredia-Soto, V., Baíllo, A., Ruz-Caracuel, I., Mena, R., Berjon, A., Escudero, F.J., Pedregosa, J., Hernández, A., Feliu, J., Hardisson, D. and Redondo, A. (2025). Improving the performance of polymerase chain reaction for microsatellite instability testing in endometrial cancer. Scientific Reports, 15, 44262.

  • Baíllo, A. and Cárcamo, J. (2026). Bootstrap tests for almost goodness-of-fit. Statistics and Computing, 36, 10.

  • Mendiola, M., Heredia-Soto, V., Ruz-Caracuel, I., Baíllo, A., Ramon-Patino, J.L., Berjon, A., Escudero, F.J., Pelaez-Garcia, A., Hernandez, A., Feliu, J., Hardisson, D. and Redondo, A. (2024). Performance of the Idylla microsatellite instability test in endometrial cancer. Molecular and Cellular Probes, 77, 101976. DOI:10.1016/j.mcp.2024.101976

  • Baíllo, A., Cárcamo, J. and Mora-Corral, C. (2024). Tests for almost stochastic dominance Journal of Business & Economic Statistics, DOI: 10.1080/07350015.2024.2374274, arxiv preprint

  • Mendiola, M., Heredia-Soto, V., Ruz-Caracuel, I., Baíllo, A., Ramon, J.L., Escudero, F.J., Miguel, M., Pelaez-Garcia, A., Hernández, A., Feliu, J., Hardisson, D. and Redondo, A. (2023). Comparison of methods for testing mismatch repair status in endometrial cancer. International Journal of Molecular Sciences, 24(19), 14468.

  • Baíllo, A., Cárcamo, J. and Mora-Corral, C. (2022). Extreme points of Lorenz and ROC curves with applications to inequality analysis. Journal of Mathematical Analysis and Applications, 514, 2, 126335.

  • Baíllo, A. and Chacón, J.E. (2022). A new selection criterion for statistical home range estimation. Journal of Applied Statistics, 49:3, 722-737. DOI: 10.1080/02664763.2020.1822302

  • Baíllo, A. and Grané, A. (2021). Subsampling and aggregation: A solution to the scalability problem in distance-based prediction for mixed-type data. Mathematics, 9, 2247. DOI: 10.3390/math9182247

  • Baíllo, A., Cárcamo, J. and Getman, K.V. (2019). New distance measures for classifying X-ray astronomy data into stellar classes. Advances in Data Analysis and Classification, Vol. 13, Págs. 531-557. DOI: 10.1007/s11634-018-0309-2. Full-text view-only version, previous version Arxiv

  • Baíllo, A., Cárcamo, J. and Nieto, S. (2015). A test for convex dominance with respect to the exponential class based on an L1 distance. IEEE Transactions on Reliability, 64, 71-82.

  • Baíllo, A., Martínez-Muñoz, L. and Mellado, M. (2013). Homogeneity tests for Michaelis-Menten curves with application to fluorescence resonance energy transfer data. Journal of Biological Systems, Vol. 21, 1350017. DOI: 10.1142/S0218339013500174 Arxiv preprint

  • Barroso, R., Muñoz, L. M., Barrondo, S., Vega, B., Holgado, B. L., Lucas, P., Baíllo, A., Salles, J., Rodríguez-Frade, J. M. and Mellado, M. (2012). EBI2 regulates CXCL13-mediated responses by heterodimerization with CXCR5. The FASEB Journal, Vol. 26, Págs. 4841-4854.

  • Baíllo, A., Cuesta-Albertos, J. A. and Cuevas, A. (2011). Supervised classification for a family of Gaussian functional models. Scandinavian Journal of Statistics, Vol. 38, Págs. 480-498.

  • 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, Vol. 53, Págs. 2628-2639.

  • Baíllo, A. and Molina, I. (2009). Mean squared errors of small area estimators under a unit-level multivariate model. Statistics, Vol. 43, Págs. 553-569.

  • Baíllo, A. and Grané, A. (2009). Functional local linear regression with functional predictor and scalar response. Journal of Multivariate Analysis, Vol. 100, Págs. 102-111.

  • Baíllo, A. (2009). A note on functional linear regression. Journal of Statistical Computation and Simulation. Vol. 79, Págs. 657-669.

  • Baíllo, A. and Fernández, J. L. (2007). A simple Markov chain structure for the evolution of credit ratings. Applied Stochastic Models in Business and Industry, Vol. 23, Págs. 483-492.

  • Baíllo, A. and Cuevas, A. (2006). Parametric versus nonparametric tolerance regions in detection problems. Computational Statistics, Vol. 21, Págs. 527-536.

  • Baíllo, A. and Cuevas, A. (2006). Image estimators based on marked bins. Statistics, Vol. 40, Págs. 277-288.

  • Baíllo, A. (2003). Total error in a plug-in estimator of level sets. Statistics and Probability Letters, Vol. 65, Págs. 411-417.

  • Baíllo, A. and Cuevas, A. (2001). On the estimation of a star-shaped set. Advances in Applied Probability, Vol. 33, Págs. 717-726.

  • Baíllo, A., Cuesta-Albertos, J. A. and Cuevas, A. (2001). Convergence rates in nonparametric estimation of level sets. Statistics and Probability Letters, Vol. 53, Págs. 27-35.

  • Baíllo, A., Justel, A. and Cuevas, A. (2000). Set estimation and nonparametric detection. Canadian Journal of Statistics, Vol. 28, Págs. 765-782.

BOOK CHAPTERS

  • Baíllo, A. and Chacón, J.E. (2021). Statistical outline of animal home ranges, an application of set estimation. In Data Science: Theory and Applications, Handbook of Statistics, vol. 44, pgs. 3-37. Eds. Arni S.R. Srinivasa Rao and C.R. Rao.

  • Baíllo, A., Cuevas, A. and Fraiman, R. (2011). Classification methods for functional data. En The Oxford Handbook of Functional Data Analysis. Eds. F. Ferraty e Yves Romain. Oxford University Press. Pgs. 259-297.

  • Baíllo, A. and Cuevas, A. (2008). Supervised classification for functional data: a theoretical remark and some numerical comparisons. Functional and Operatorial Statistics. Eds. S. Dabo-Niang and F. Ferraty. Physica-Verlag. Pgs. 43-46.

  • Baíllo, A. and Grané, A. (2008). Local linear regression for functional predictor and scalar response. Functional and Operatorial Statistics. Eds. S. Dabo-Niang and F. Ferraty. Physica-Verlag. Pgs. 47-51.

BOOKS
  • Baíllo, A. and Grané, A. (2007). 100 problemas resueltos de estadística multivariante (implementados en Matlab). Editorial Delta. ISBN: 978-84-96477-73-8


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