Publicaciones en las que colabora con ALFONSO GORDALIZA RAMOS (23)

2018

  1. 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

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

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

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

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

2017

  1. Robust estimation of mixtures of regressions with random covariates, via trimming and constraints

    Statistics and Computing, Vol. 27, Núm. 2, pp. 377-402

2016

  1. The joint role of trimming and constraints in robust estimation for mixtures of Gaussian factor analyzers

    Computational Statistics and Data Analysis, Vol. 99, pp. 131-147

2015

  1. Avoiding Spurious Local Maximizers in Mixture Modeling

    XXXV Congreso Nacional SEIO: IX Jornadas de Estadística Pública : Universidad Pública de Navarra, Pamplona, del 26 al 29 de mayo de 2015

  2. Avoiding spurious local maximizers in mixture modeling

    Statistics and Computing, Vol. 25, Núm. 3, pp. 619-633

  3. Comments on: Multivariate functional outlier detection

    Statistical Methods and Applications, Vol. 24, Núm. 2, pp. 233-235

  4. Robustness and outliers

    Handbook of Cluster Analysis (CRC Press), pp. 653-678

2014

  1. A constrained robust proposal for mixture modeling avoiding spurious solutions

    Advances in Data Analysis and Classification, Vol. 8, Núm. 1, pp. 27-43

2013

  1. Comments on: Model-based clustering and classification with non-normal mixture distributions

    Statistical Methods and Applications, Vol. 22, Núm. 4, pp. 459-461

  2. Grouping around different dimensional affine subspaces

    Studies in Classification, Data Analysis, and Knowledge Organization

  3. On the breakdown behavior of the TCLUST clustering procedure

    Test, Vol. 22, Núm. 3, pp. 466-487

  4. Trimmed cluster-weighted restricted modeling

    XXXIV Congreso Nacional de Estadística e Investigación Operativa, VIII Jornadas de Estadística Pública: SEIO 2013. Universitat Jaume I, Castellón, septiembre 2013. Libro de actas

2012

  1. The influence function of the TCLUST robust clustering procedure

    Advances in Data Analysis and Classification, Vol. 6, Núm. 2, pp. 107-130

2011

  1. Exploring the number of groups in robust model-based clustering

    Statistics and Computing, Vol. 21, Núm. 4, pp. 585-599

2010

  1. A review of robust clustering methods

    Advances in Data Analysis and Classification, Vol. 4, Núm. 2, pp. 89-109

  2. Discussion: The forward search: Theory and data analysis

    Journal of the Korean Statistical Society

  3. Robust clusterwise linear regression through trimming

    Computational Statistics and Data Analysis, Vol. 54, Núm. 12, pp. 3057-3069

2009

  1. A robust maximal F-ratio statistic to detect clusters structure

    Communications in Statistics - Theory and Methods, Vol. 38, Núm. 5, pp. 682-694