Publicaciones en colaboración con investigadores/as de Wageningen UR (10)

2021

  1. All sparse PCA models are wrong, but some are useful. Part II: Limitations and problems of deflation

    Chemometrics and Intelligent Laboratory Systems, Vol. 208

2020

  1. 4.18 - Chemometrics Analysis of Big Data

    Comprehensive Chemometrics: Chemical and Biochemical Data Analysis, Second Edition: Four Volume Set (Elsevier), pp. 437-458

  2. All sparse PCA models are wrong, but some are useful. Part I: Computation of scores, residuals and explained variance

    Chemometrics and Intelligent Laboratory Systems, Vol. 196

  3. Multivariate Exploratory Data Analysis Using Component Models

    Comprehensive Foodomics (Elsevier), pp. 241-268

2019

  1. Semi-supervised multivariate statistical network monitoring for learning security threats

    IEEE Transactions on Information Forensics and Security, Vol. 14, Núm. 8, pp. 2179-2189

2018

  1. Group-wise ANOVA simultaneous component analysis for designed omics experiments

    Metabolomics, Vol. 14, Núm. 6

  2. Group-wise partial least square regression

    Journal of Chemometrics, Vol. 32, Núm. 3

2017

  1. Group-Wise Principal Component Analysis for Exploratory Data Analysis

    Journal of Computational and Graphical Statistics, Vol. 26, Núm. 3, pp. 501-512

2015

  1. Determining the number of components in principal components analysis: A comparison of statistical, crossvalidation and approximated methods

    Chemometrics and Intelligent Laboratory Systems, Vol. 149, pp. 99-116

  2. On the use of the observation-wise k-fold operation in PCA cross-validation

    Journal of Chemometrics, Vol. 29, Núm. 8, pp. 467-478