Publicaciones en las que colabora con LUIS ANGEL GARCIA ESCUDERO (45)

2023

  1. Consistency factor for the MCD estimator at the Student-t distribution

    Statistics and Computing, Vol. 33, Núm. 6

  2. Graphical and Computational Tools to Guide Parameter Choice for the Cluster Weighted Robust Model

    Journal of Computational and Graphical Statistics, Vol. 32, Núm. 3, pp. 1195-1214

  3. Old and New Constraints in Model Based Clustering

    Studies in Classification, Data Analysis, and Knowledge Organization

2022

  1. Constrained parsimonious model-based clustering

    Statistics and Computing, Vol. 32, Núm. 1

2020

  1. Model-based clustering with determinant-and-shape constraint

    Statistics and Computing, Vol. 30, Núm. 5, pp. 1363-1380

  2. Stationary intervals for random waves by functional clustering of spectral densities

    Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE

  3. Time Series, Spectral Densities and Robust Functional Clustering

    Neural Processing Letters, Vol. 52, Núm. 1, pp. 135-152

2019

  1. Robust clustering for functional data based on trimming and constraints

    Advances in Data Analysis and Classification, Vol. 13, Núm. 1, pp. 201-225

2018

  1. A reweighting approach to robust clustering

    Statistics and Computing, Vol. 28, Núm. 2, pp. 477-493

  2. Comments on “The power of monitoring: how to make the most of a contaminated multivariate sample”

    Statistical Methods and Applications, Vol. 27, Núm. 4, pp. 605-608

  3. Eigenvalues and constraints in mixture modeling: Geometric and computational issues

    Advances in Data Analysis and Classification, Vol. 12, Núm. 2, pp. 203-233

  4. Finding the Number of Normal Groups in Model-Based Clustering via Constrained Likelihoods

    Journal of Computational and Graphical Statistics, Vol. 27, Núm. 2, pp. 404-416

  5. Robust Approaches for Fuzzy Clusterwise Regression Based on Trimming and Constraints

    Studies in Systems, Decision and Control (Springer International Publishing), pp. 155-164

  6. Robust, fuzzy, and parsimonious clustering, based on mixtures of Factor Analyzers

    International Journal of Approximate Reasoning, Vol. 94, pp. 60-75

2017

  1. A fuzzy approach to robust regression clustering

    Advances in Data Analysis and Classification, Vol. 11, Núm. 4, pp. 691-710

  2. Fitting parabolas in noisy images

    Computational Statistics and Data Analysis, Vol. 112, pp. 80-87

  3. Fuzzy clustering through robust factor analyzers

    Advances in Intelligent Systems and Computing

  4. Robust clustering for time series using spectral densities and functional data analysis

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