Publications (42) JORGE MARTIN AREVALILLO publications

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2024

  1. Assessment of extreme records in environmental data through the study of stochastic orders for scale mixtures of skew normal vectors

    Environmental and Ecological Statistics, Vol. 31, Núm. 1, pp. 151-179

  2. Data science methods for response, incremental response and rate sensitivity to response modelling in banking

    Expert Systems, Vol. 41, Núm. 10

  3. On the empirical approximation to quantiles from Lugannani–Rice saddlepoint formula

    Statistics and Probability Letters, Vol. 209

2023

  1. A New Separation Index and Classification Techniques Based on Shannon Entropy

    Methodology and Computing in Applied Probability, Vol. 25, Núm. 4

  2. New Insights on the Multivariate Skew Exponential Power Distribution

    Mathematica Slovaca, Vol. 73, Núm. 2, pp. 529-544

  3. On connections between skewed, weighted and distorted distributions: applications to model extreme value distributions

    Test, Vol. 32, Núm. 4, pp. 1307-1335

  4. Patterns of differential expression by association in omic data using a new measure based on ensemble learning

    Statistical Applications in Genetics and Molecular Biology, Vol. 22, Núm. 1

2021

  1. Ensemble learning from model based trees with application to differential price sensitivity assessment

    Information Sciences, Vol. 557, pp. 16-33

  2. Skewness-based projection pursuit as an eigenvector problem in scale mixtures of skew-normal distributions

    Symmetry, Vol. 13, Núm. 6

  3. Skewness-kurtosis model-based projection pursuit with application to summarizing gene expression data

    Mathematics, Vol. 9, Núm. 9

2020

  1. Bayesian networks established functional differences between breast cancer subtypes

    PloS one, Vol. 15, Núm. 6, pp. e0234752

  2. Computational models applied to metabolomics data hints at the relevance of glutamine metabolism in breast cancer

    BMC Cancer, Vol. 20, Núm. 1

  3. Data projections by skewness maximization under scale mixtures of skew-normal vectors

    Advances in Data Analysis and Classification, Vol. 14, Núm. 2, pp. 435-461

2019

  1. A machine learning approach to assess price sensitivity with application to automobile loan segmentation

    Applied Soft Computing Journal, Vol. 76, pp. 390-399

  2. A novel approach to triple-negative breast cancer molecular classification reveals a luminal immune-positive subgroup with good prognoses

    Scientific Reports, Vol. 9, Núm. 1

  3. A stochastic ordering based on the canonical transformation of skew-normal vectors

    Test, Vol. 28, Núm. 2, pp. 475-498

  4. Biological molecular layer classification of muscle-invasive bladder cancer opens new treatment opportunities

    BMC Cancer, Vol. 19, Núm. 1

  5. Model Based Recursive Partitioning for Customized Price Optimization Analytics

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2018

  1. Molecular characterization of breast cancer cell response to metabolic drugs

    Oncotarget, Vol. 9, Núm. 11, pp. 9645-9660

  2. Probabilistic graphical models relate immune status with response to neoadjuvant chemotherapy in breast cancer

    Oncotarget, Vol. 9, Núm. 45, pp. 27586-27594