Agustín Mayo-Íscar

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 27

Top Topics

Factor Analyzers

Mixture Modeling

Robust Estimation

Top Venues

Adv. Data Anal. Classif.

Int. J. Approx. Reason.

Publications

Raúl López-Izquierdo, Carlos del Pozo Vegas, Ancor Sanz-García, Agustín Mayo-Íscar, Miguel Ángel Castro Villamor, Eduardo Silva Alvarado, Santos Gracia Villar, Luis Alonso Dzul López, Silvia Aparicio Obregon, Rubén Calderon Iglesias, Joan B. Soriano, Francisco Martín-Rodríguez
Clinical phenotypes and short-term outcomes based on prehospital point-of-care testing and on-scene vital signs. npj Digit. Medicine 7 (1) (2024)
Andrea Cappozzo, Luis Angel García-Escudero, Francesca Greselin, Agustín Mayo-Íscar
Graphical and Computational Tools to Guide Parameter Choice for the Cluster Weighted Robust Model. J. Comput. Graph. Stat. 32 (3) (2023)
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) (2023)
Francisco Martín-Rodríguez, Raúl López-Izquierdo, Ancor Sanz-García, Carlos del Pozo Vegas, Miguel Ángel Castro Villamor, Agustín Mayo-Íscar, José L. Martín-Conty, Guillermo J. Ortega
Novel Prehospital Phenotypes and Outcomes in Adult-Patients with Acute Disease. J. Medical Syst. 46 (7) (2022)
Luis Angel García-Escudero, Agustín Mayo-Íscar, Marco Riani
Constrained parsimonious model-based clustering. Stat. Comput. 32 (1) (2022)
Pierpaolo D'Urso, Luis Angel García-Escudero, Livia De Giovanni, Vincenzina Vitale, Agustín Mayo-Íscar
Robust fuzzy clustering of time series based on B-splines. Int. J. Approx. Reason. 136 (2021)
Luis Angel García-Escudero, Diego Rivera-García, Agustín Mayo-Íscar, Joaquín Ortega
Cluster analysis with cellwise trimming and applications for the robust clustering of curves. Inf. Sci. 573 (2021)
Eustasio del Barrio, Hristo Inouzhe, Jean-Michel Loubes, Carlos Matrán, Agustín Mayo-Íscar
optimalFlow: optimal transport approach to flow cytometry gating and population matching. BMC Bioinform. 21 (1) (2020)
Diego Rivera-García, Luis Angel García-Escudero, Agustín Mayo-Íscar, Joaquín Ortega
Time Series, Spectral Densities and Robust Functional Clustering. Neural Process. Lett. 52 (1) (2020)
Luis Angel García-Escudero, Agustín Mayo-Íscar, Marco Riani
Model-based clustering with determinant-and-shape constraint. Stat. Comput. 30 (5) (2020)
Eustasio del Barrio, Juan Antonio Cuesta-Albertos, Carlos Matrán, Agustín Mayo-Íscar
Robust clustering tools based on optimal transportation. Stat. Comput. 29 (1) (2019)
Diego Rivera-García, Luis Angel García-Escudero, Agustín Mayo-Íscar, Joaquín Ortega
Robust clustering for functional data based on trimming and constraints. Adv. Data Anal. Classif. 13 (1) (2019)
Sylvia Frühwirth-Schnatter, Salvatore Ingrassia, Agustín Mayo-Íscar
Special issue on "Advances on model-based clustering and classification" - Preface by the Guest Editors. Adv. Data Anal. Classif. 13 (1) (2019)
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 (2019)
Luis Angel García-Escudero, Alfonso Gordaliza, Carlos Matrán, Agustín Mayo-Íscar
Comments on "The power of monitoring: how to make the most of a contaminated multivariate sample". Stat. Methods Appl. 27 (4) (2018)
Luis Angel García-Escudero, Francesca Greselin, Agustín Mayo-Íscar
Robust, fuzzy, and parsimonious clustering, based on mixtures of Factor Analyzers. Int. J. Approx. Reason. 94 (2018)
Luis Angel García-Escudero, Alfonso Gordaliza, Francesca Greselin, Salvatore Ingrassia, Agustín Mayo-Íscar
Eigenvalues and constraints in mixture modeling: geometric and computational issues. Adv. Data Anal. Classif. 12 (2) (2018)
Francesco Dotto, Alessio Farcomeni, Luis Angel García-Escudero, Agustín Mayo-Íscar
A reweighting approach to robust clustering. Stat. Comput. 28 (2) (2018)
Luis Angel García-Escudero, Alfonso Gordaliza, Francesca Greselin, Salvatore Ingrassia, Agustín Mayo-Íscar
Robust estimation of mixtures of regressions with random covariates, via trimming and constraints. Stat. Comput. 27 (2) (2017)
Luis Angel García-Escudero, Agustín Mayo-Íscar, Clara I. Sánchez-Gutiérrez
Fitting parabolas in noisy images. Comput. Stat. Data Anal. 112 (2017)
Diego Rivera-García, Luis Angel García-Escudero, Agustín Mayo-Íscar, Joaquín Ortega
Robust Clustering for Time Series Using Spectral Densities and Functional Data Analysis. IWANN (2) (2017)
Francesco Dotto, Alessio Farcomeni, Luis Angel García-Escudero, Agustín Mayo-Íscar
A fuzzy approach to robust regression clustering. Adv. Data Anal. Classif. 11 (4) (2017)
Luis Angel García-Escudero, Francesca Greselin, Agustín Mayo-Íscar
Fuzzy Clustering Through Robust Factor Analyzers. SMPS (2016)
Luis Angel García-Escudero, Alfonso Gordaliza, Francesca Greselin, Salvatore Ingrassia, Agustín Mayo-Íscar
The joint role of trimming and constraints in robust estimation for mixtures of Gaussian factor analyzers. Comput. Stat. Data Anal. 99 (2016)
Francesco Dotto, Alessio Farcomeni, Luis Angel García-Escudero, Agustín Mayo-Íscar
Robust Fuzzy Clustering via Trimming and Constraints. SMPS (2016)
Luis Angel García-Escudero, Alfonso Gordaliza, Agustín Mayo-Íscar
Comments on: Multivariate functional outlier detection. Stat. Methods Appl. 24 (2) (2015)
Luis Angel García-Escudero, Alfonso Gordaliza, Carlos Matrán, Agustín Mayo-Íscar
Avoiding spurious local maximizers in mixture modeling. Stat. Comput. 25 (3) (2015)
Luis Angel García-Escudero, Alfonso Gordaliza, Agustín Mayo-Íscar
A constrained robust proposal for mixture modeling avoiding spurious solutions. Adv. Data Anal. Classif. 8 (1) (2014)
Heinrich Fritz, Luis Angel García-Escudero, Agustín Mayo-Íscar
Robust constrained fuzzy clustering. Inf. Sci. 245 (2013)
Heinrich Fritz, Luis Angel García-Escudero, Agustín Mayo-Íscar
A fast algorithm for robust constrained clustering. Comput. Stat. Data Anal. 61 (2013)
Luis Angel García-Escudero, Alfonso Gordaliza, Agustín Mayo-Íscar
Comments on: model-based clustering and classification with non-normal mixture distributions. Stat. Methods Appl. 22 (4) (2013)
C. Ruwet, Luis Angel García-Escudero, Alfonso Gordaliza, Agustín Mayo-Íscar
The influence function of the TCLUST robust clustering procedure. Adv. Data Anal. Classif. 6 (2) (2012)
Luis Angel García-Escudero, Alfonso Gordaliza, Carlos Matrán, Agustín Mayo-Íscar
Exploring the number of groups in robust model-based clustering. Stat. Comput. 21 (4) (2011)
Luis Angel García-Escudero, Alfonso Gordaliza, Agustín Mayo-Íscar, Roberto San Martin
Robust clusterwise linear regression through trimming. Comput. Stat. Data Anal. 54 (12) (2010)
Luis Angel García-Escudero, Alfonso Gordaliza, Carlos Matrán, Agustín Mayo-Íscar
A review of robust clustering methods. Adv. Data Anal. Classif. 4 (2-3) (2010)