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Alfonso Gordaliza
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2020 – today
- 2020
- [j16]Borja F. Villar, Pablo Viñas, Javier Pérez Turiel
, Juan Carlos Fraile Marinero
Influence on the user's emotional state of the graphic complexity level in virtual therapies based on a robot-assisted neuro-rehabilitation platform. Comput. Methods Programs Biomed. 190: 105359 (2020)
2010 – 2019
- 2018
- [j15]Luis Angel García-Escudero
Eigenvalues and constraints in mixture modeling: geometric and computational issues. Adv. Data Anal. Classif. 12(2): 203-233 (2018) - [j14]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
- [j13]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) - 2016
- [j12]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) - 2015
- [j11]Eduardo Rodriguez-Lizundia, Samuel Marcos
A bellboy robot: Study of the effects of robot behaviour on user engagement and comfort. Int. J. Hum. Comput. Stud. 82: 83-95 (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]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
- [j6]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
- [j5]Luis Angel García-Escudero
Exploring the number of groups in robust model-based clustering. Stat. Comput. 21(4): 585-599 (2011) - 2010
- [j4]Luis Angel García-Escudero
A review of robust clustering methods. Adv. Data Anal. Classif. 4(2-3): 89-109 (2010) - [j3]Luis Angel García-Escudero
Robust clusterwise linear regression through trimming. Comput. Stat. Data Anal. 54(12): 3057-3069 (2010)
2000 – 2009
- 2007
- [j2]Luis Angel García-Escudero
The importance of the scales in heterogeneous robust clustering. Comput. Stat. Data Anal. 51(9): 4403-4412 (2007) - 2005
- [j1]Luis Angel García-Escudero
A Proposal for Robust Curve Clustering. J. Classif. 22(2): 185-201 (2005)
Coauthor Index
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