Análisis de sensibilidad a la evidencia en redes bayesianas gaussianas - Paola Mariluz Viviani García; Paloma Main Yaque (dir. tes.); Miguel Ángel Gómez Villegas (dir. tes.); Beatriz González Pérez (pres.); Luis Sanz San Miguel (secr.); Jorge Martín Arevalillo (voc.); Juan Miguel Marín Díazaraque (voc.); Julián de la Horra Navarro (voc.) (2014)

Aproximaciones Saddlepoint para el cuantil de la distribución de un estadístico - Jorge Martín Arevalillo; Alfonso García Pérez (dir. tes.); Ildefonso Yáñez de Diego (pres.); Ricardo Vélez Ibarrola (secr.); Leandro Pardo Llorente (voc.); Vicente Quesada Paloma (voc.); Carlos Cuadra Avellana (voc.) (2003)

Una alternativa a la aproximación normal del cuantil de la media muestral - Jorge Martín Arevalillo (XXV Congreso Nacional de Estadística e Investigación Operativa: Vigo, 4-7 de abril de 2000, 2000)

8. Aproximaciones saddlepoint para el cuantil de la distribución de un estadístico - Jorge Martín Arevalillo (Volumen homenaje al profesor D. Ildefonso Yáñez, 2005)

Desarrollo del algoritmo CAPRI para la estimacio?n de la abundancia de complejos enzima?ticos y su aplicacio?n en la modelizacio?n del metabolismo en ca?ncer de mama - Espinosa Arranz, Enrique (Autor o Coautor); Diaz Uriarte, Ramon (Autor o Coautor); Juan Ángel Fresno Vara (Director); Angelo Gamez Pozo (Director); Gamez Pozo, Angelo (Autor o Coautor) Doctorando: Mariana Díaz Almirón (2018)

Functional proteomics outlines the complexity of breast cancer molecular subtypes - Gámez-Pozo A; Trilla-Fuertes L; Berges-Soria J; Selevsek N; López-Vacas R; Díaz-Almirón M; Nanni P; Arevalillo JM; Navarro H; Grossmann J; Gayá Moreno F; Gómez Rioja R; et al. (Scientific Reports, 2017)

Combined label-free quantitative proteomics and microRNA expression analysis of breast cancer unravel molecular differences with clinical implications - Gámez-Pozo, A.; Berges-Soria, J.; Arevalillo, J.M.; Nanni, P.; López-Vacas, R.; Navarro, H.; Grossmann, J.; Castaneda, C.A.; Main, P.; Díaz-Almirón, M.; Espinosa, E.; Ciruelos, E.; et al. (Cancer Research, 2015)

Molecular characterization of breast cancer cell response to metabolic drugs - Trilla-Fuertes, L.; Gámez-Pozo, A.; Arevalillo, J.M.; Díaz-Almirón, M.; Prado-Vázquez, G.; Zapater-Moros, A.; Navarro, H.; Aras-López, R.; Dapía, I.; López-Vacas, R.; Nanni, P.; Llorente-Armijo, S.; et al. (Oncotarget, 2018)

A novel approach to triple-negative breast cancer molecular classification reveals a luminal immune-positive subgroup with good prognoses - Prado-Vazquez, Guillermo; Gamez-Pozo, Angelo; Trilla-Fuertes, Lucia; Arevalillo, Jorge M.; Zapater-Moros, Andrea; Ferrer-Gomez, Maria; Diaz-Almiron, Mariana; Lopez-Vacas, Rocio; Navarro, Hilario; Main, Paloma; Feliu, Jaime; Zamora, Pilar; et al. (Scientific Reports, 2019)

Biological molecular layer classification of muscle-invasive bladder cancer opens new treatment opportunities - Trilla-Fuertes, L; Gámez-Pozo, A; Prado-Vázquez, G; Zapater-Moros, A; Díaz-Almirón, M; Arevalillo, JM; Ferrer-Gómez, M; Navarro, H; Maín, P; Espinosa, E; Pinto, A; Vara, JAF (BMC Cancer, 2019)

Computational models applied to metabolomics data hints at the relevance of glutamine metabolism in breast cancer - Trilla-Fuertes L; Gámez-Pozo A; López-Camacho E; Prado-Vázquez G; Zapater-Moros A; López-Vacas R; Arevalillo JM; Díaz-Almirón M; Navarro H; Maín P; Espinosa E; Zamora P; et al. (BMC Cancer, 2020)

Bayesian networks established functional differences between breast cancer subtypes - Trilla-Fuertes L; Gámez-Pozo A; Arevalillo JM; López-Vacas R; López-Camacho E; Prado-Vázquez G; Zapater-Moros A; Díaz-Almirón M; Ferrer-Gómez M; Navarro H; Nanni P; Zamora P; et al. (PloS one, 2020)

Data projections by skewness maximization under scale mixtures of skew-normal vectors - Arevalillo, J.M.; Navarro, H. (Advances in Data Analysis and Classification, 2020)

Probabilistic graphical models relate immune status with response to neoadjuvant chemotherapy in breast cancer - Zapater-Moros A, Gámez-Pozo A, Prado-Vázquez G, Trilla-Fuertes L, Arevalillo JM, Díaz-Almirón M, Navarro H, Maín P, Feliú J, Zamora P, Espinosa E, Fresno Vara JÁ (Oncotarget, 2018)

Urothelial cancer proteomics provides both prognostic and functional information - De Velasco, G.; Trilla-Fuertes, L.; Gamez-Pozo, A.; Urbanowicz, M.; Ruiz-Ares, G.; Sepúlveda, J.M.; Prado-Vazquez, G.; Arevalillo, J.M.; Zapater-Moros, A.; Navarro, H.; Lopez-Vacas, R.; Manneh, R.; et al. (Scientific Reports, 2017)

A note on the direction maximizing skewness in multivariate skew-t vectors - Arevalillo, J.M.; Navarro, H. (Statistics and Probability Letters, 2015)

Exploring correlations in gene expression microarray data for maximum predictive-minimum redundancy biomarker selection and classification - Arevalillo, J.M.; Navarro, H. (Computers in Biology and Medicine, 2013)

A study of the effect of kurtosis on discriminant analysis under elliptical populations - Arevalillo, J.M.; Navarro, H. (Journal of Multivariate Analysis, 2012)

Uncovering bivariate interactions in high dimensional data using random forests with data augmentation - Arevalillo, J.M.; Navarro, H. (Fundamenta Informaticae, 2011)

A new method for identifying bivariate differential expression in high dimensional microarray data using quadratic discriminant analysis. - Arevalillo, J.M.; Navarro, H. (BMC bioinformatics, 2011)

A new approach for detecting bivariate interactions in high dimensional data using quadratic discriminant analysis - Arevalillo, J.M.; Navarro, H. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010)

Using random forests to uncover bivariate interactions in high dimensional small data sets - Arevalillo, J.M.; Navarro, H. (Proceedings of the KDD-09 Workshop on Statistical and Relational Learning in Bioinformatics, StReBio '09, 2009)

A second order approximation for the inverse of the distribution function of the sample mean - Arevalillo, J.M. (Kybernetika, 2001)

Inverting a saddlepoint approximation - Arevalillo, J.M. (Statistics and Probability Letters, 2003)

Development of a method to transform life fuel moisture content into ignition probability - Jurdao, S.; Arevalillo, J.M.; Chuvieco, E.; Yebra, M. (34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring, 2011)

Exploring the relation between the r * approximation and the Edgeworth expansion - Arevalillo, J.M. (Metrika, 2012)

Modelling fire ignition probability fromsatellite estimates of live fuel moisture content - Jurdao, S.; Chuvieco, E.; Arevalillo, J.M. (Fire Ecology, 2012)

Higher-order approximations to the quantile of the distribution for a class of statistics in the first-order autoregression - Arevalillo, J.M. (Test, 2014)

The Cornish-Fisher expansion for a class of statistics in first order autoregression - Arevalillo, J.M. (Communications in Statistics - Theory and Methods, 2016)

Identification of immune correlates of protection in Shigella infection by application of machine learning - Arevalillo, J.M.; Sztein, M.B.; Kotloff, K.L.; Levine, M.M.; Simon, J.K. (Journal of Biomedical Informatics, 2017)

A machine learning approach to assess price sensitivity with application to automobile loan segmentation - Arevalillo, J.M. (Applied Soft Computing Journal, 2019)

Model Based Recursive Partitioning for Customized Price Optimization Analytics - Arevalillo, J.M. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019)

Ensemble learning from model based trees with application to differential price sensitivity assessment - Arevalillo, J.M. (Information Sciences, 2021)

A stochastic ordering based on the canonical transformation of skew-normal vectors - Arevalillo, J.M.; Navarro, H. (Test, 2019)

Skewness-based projection pursuit as an eigenvector problem in scale mixtures of skew-normal distributions - Arevalillo, J.M.; Navarro, H. (Symmetry, 2021)

Skewness-kurtosis model-based projection pursuit with application to summarizing gene expression data - Arevalillo, J.M.; Navarro, H. (Mathematics, 2021)

New Insights on the Multivariate Skew Exponential Power Distribution - Arevalillo, J.M.; Navarro, H. (Mathematica Slovaca, 2023)

Aproximaciones saddlepoint para el cuantil de la distribución de un estadístico en el proceso AR(1) - Jorge Martín Arevalillo (XXVIII Congreso Nacional de Estadi?stica e Investigacio?n Operativa: [archivo de ordenador] Cádiz, 25-29 de octubre de 2004, 2004)