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Agustín Mayo-Íscar
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2020 – today
- 2024
- [j31]Raúl López-Izquierdo, Carlos del Pozo Vegas
, Ancor Sanz-García
Clinical phenotypes and short-term outcomes based on prehospital point-of-care testing and on-scene vital signs. npj Digit. Medicine 7(1) (2024) - 2023
- [j30]Andrea Cappozzo
Graphical and Computational Tools to Guide Parameter Choice for the Cluster Weighted Robust Model. J. Comput. Graph. Stat. 32(3): 1195-1214 (2023) - [j29]Lucio Barabesi, Andrea Cerioli, Luis Angel García-Escudero, Agustín Mayo-Íscar:
Consistency factor for the MCD estimator at the Student-t distribution. Stat. Comput. 33(6): 132 (2023) - 2022
- [j28]Francisco Martín-Rodríguez
Novel Prehospital Phenotypes and Outcomes in Adult-Patients with Acute Disease. J. Medical Syst. 46(7): 45 (2022) - [j27]Luis Angel García-Escudero
Constrained parsimonious model-based clustering. Stat. Comput. 32(1): 2 (2022) - 2021
- [j26]Pierpaolo D'Urso
Robust fuzzy clustering of time series based on B-splines. Int. J. Approx. Reason. 136: 223-246 (2021) - [j25]Luis Angel García-Escudero, Diego Rivera-García, Agustín Mayo-Íscar
Cluster analysis with cellwise trimming and applications for the robust clustering of curves. Inf. Sci. 573: 100-124 (2021) - 2020
- [j24]Eustasio del Barrio
optimalFlow: optimal transport approach to flow cytometry gating and population matching. BMC Bioinform. 21(1): 479 (2020) - [j23]Diego Rivera-García
Time Series, Spectral Densities and Robust Functional Clustering. Neural Process. Lett. 52(1): 135-152 (2020) - [j22]Luis Angel García-Escudero
Model-based clustering with determinant-and-shape constraint. Stat. Comput. 30(5): 1363-1380 (2020)
2010 – 2019
- 2019
- [j21]Sylvia Frühwirth-Schnatter, Salvatore Ingrassia
Special issue on "Advances on model-based clustering and classification" - Preface by the Guest Editors. Adv. Data Anal. Classif. 13(1): 1-5 (2019) - [j20]Diego Rivera-García
Robust clustering for functional data based on trimming and constraints. Adv. Data Anal. Classif. 13(1): 201-225 (2019) - [j19]Eustasio del Barrio
Robust clustering tools based on optimal transportation. Stat. Comput. 29(1): 139-160 (2019) - [i1]Eustasio del Barrio, Hristo Inouzhe, Jean-Michel Loubes, Carlos Matrán, Agustín Mayo-Íscar:
optimalFlow: Optimal-transport approach to flow cytometry gating and population matching. CoRR abs/1907.08006 (2019) - 2018
- [j18]Luis Angel García-Escudero
Eigenvalues and constraints in mixture modeling: geometric and computational issues. Adv. Data Anal. Classif. 12(2): 203-233 (2018) - [j17]Luis Angel García-Escudero, Francesca Greselin
Robust, fuzzy, and parsimonious clustering, based on mixtures of Factor Analyzers. Int. J. Approx. Reason. 94: 60-75 (2018) - [j16]Francesco Dotto, Alessio Farcomeni
A reweighting approach to robust clustering. Stat. Comput. 28(2): 477-493 (2018) - [j15]Luis Angel García-Escudero, Alfonso Gordaliza
Comments on "The power of monitoring: how to make the most of a contaminated multivariate sample". Stat. Methods Appl. 27(4): 605-608 (2018) - 2017
- [j14]Francesco Dotto, Alessio Farcomeni, Luis Angel García-Escudero, Agustín Mayo-Íscar
A fuzzy approach to robust regression clustering. Adv. Data Anal. Classif. 11(4): 691-710 (2017) - [j13]Luis Angel García-Escudero
Fitting parabolas in noisy images. Comput. Stat. Data Anal. 112: 80-87 (2017) - [j12]Luis Angel García-Escudero, Alfonso Gordaliza
Robust estimation of mixtures of regressions with random covariates, via trimming and constraints. Stat. Comput. 27(2): 377-402 (2017) - [c3]Diego Rivera-García, Luis Angel García-Escudero, Agustín Mayo-Íscar
Robust Clustering for Time Series Using Spectral Densities and Functional Data Analysis. IWANN (2) 2017: 142-153 - 2016
- [j11]Luis Angel García-Escudero, Alfonso Gordaliza
The joint role of trimming and constraints in robust estimation for mixtures of Gaussian factor analyzers. Comput. Stat. Data Anal. 99: 131-147 (2016) - [c2]Francesco Dotto, Alessio Farcomeni, Luis Angel García-Escudero, Agustín Mayo-Íscar
Robust Fuzzy Clustering via Trimming and Constraints. SMPS 2016: 197-204 - [c1]Luis Angel García-Escudero, Francesca Greselin
Fuzzy Clustering Through Robust Factor Analyzers. SMPS 2016: 229-235 - 2015
- [j10]Luis Angel García-Escudero
Avoiding spurious local maximizers in mixture modeling. Stat. Comput. 25(3): 619-633 (2015) - [j9]Luis Angel García-Escudero, Alfonso Gordaliza
Comments on: Multivariate functional outlier detection. Stat. Methods Appl. 24(2): 233-235 (2015) - 2014
- [j8]Luis Angel García-Escudero
A constrained robust proposal for mixture modeling avoiding spurious solutions. Adv. Data Anal. Classif. 8(1): 27-43 (2014) - 2013
- [j7]Heinrich Fritz, Luis Angel García-Escudero
A fast algorithm for robust constrained clustering. Comput. Stat. Data Anal. 61: 124-136 (2013) - [j6]Heinrich Fritz, Luis Angel García-Escudero
Robust constrained fuzzy clustering. Inf. Sci. 245: 38-52 (2013) - [j5]Luis Angel García-Escudero
Comments on: model-based clustering and classification with non-normal mixture distributions. Stat. Methods Appl. 22(4): 459-461 (2013) - [p1]Luis Angel García-Escudero, Alfonso Gordaliza, Carlos Matrán, Agustín Mayo-Íscar
Grouping Around Different Dimensional Affine Subspaces. Statistical Models for Data Analysis 2013: 131-139 - 2012
- [j4]Christel Ruwet, Luis Angel García-Escudero
The influence function of the TCLUST robust clustering procedure. Adv. Data Anal. Classif. 6(2): 107-130 (2012) - 2011
- [j3]Luis Angel García-Escudero
Exploring the number of groups in robust model-based clustering. Stat. Comput. 21(4): 585-599 (2011) - 2010
- [j2]Luis Angel García-Escudero
A review of robust clustering methods. Adv. Data Anal. Classif. 4(2-3): 89-109 (2010) - [j1]Luis Angel García-Escudero
Robust clusterwise linear regression through trimming. Comput. Stat. Data Anal. 54(12): 3057-3069 (2010)
Coauthor Index
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