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García-Escudero, Luis Angel
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1

Consistency factor for the MCD estimator at the Student-t d..:

Barabesi, Lucio ; Cerioli, Andrea ; García-Escudero, Luis Angel.
Statistics and Computing.  33 (2023)  6 - p. , 2023
Link: https://doi.org/10.1007/..
 
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2

Graphical and Computational Tools to Guide Parameter Choice..:

Cappozzo, Andrea ; García-Escudero, Luis Angel ; Greselin, Francesca.
Journal of Computational and Graphical Statistics.  32 (2023)  3 - p. 1195-1214 , 2023
Link: https://doi.org/10.1080/..
 
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3

Monitoring Tools in Robust CWM for the Analysis of Crime Da..:

, In: Building Bridges between Soft and Statistical Methodologies for Data Science; Advances in Intelligent Systems and Computing,
Cappozzo, Andrea ; García-Escudero, Luis Angel ; Greselin, Francesca. - p. 65-72 , 2022
Link: https://doi.org/10.1007/..
 
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4

Model-based clustering with determinant-and-shape constrain:

García-Escudero, Luis Angel ; Mayo-Iscar, Agustín ; Riani, Marco
Statistics and Computing.  30 (2020)  5 - p. 1363-1380 , 2020
Link: https://doi.org/10.1007/..
 
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5

Special issue on "Innovations on model based clustering and..:

Biernacki, Christophe ; García-Escudero, Luis Angel ; Ingrassia, Salvatore
Advances in Data Analysis and Classification.  14 (2020)  2 - p. 231-234 , 2020
Link: https://doi.org/10.1007/..
 
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6

Variables Influencing Pre-Service Teacher Training in Educa..:

Álvarez-García, Olaya ; García-Escudero, Luis Ángel ; Salvà-Mut, Francisca.
Sustainability.  11 (2019)  16 - p. 4412 , 2019
Link: https://doi.org/10.3390/..
 
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7

Analysis of real crashes against metal roadside barriers:

Fernández, Miguel A. ; García-Escudero, Luis Ángel ; Molinero, Aquilino.
PLOS ONE.  14 (2019)  2 - p. e0211674 , 2019
Link: https://doi.org/10.1371/..
 
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8

Robust Approaches for Fuzzy Clusterwise Regression Based on..:

, In: Studies in Systems, Decision and Control; The Mathematics of the Uncertain,
García-Escudero, Luis Angel ; Gordaliza, Alfonso ; Greselin, Francesca. - p. 155-164 , 2018
Link: https://doi.org/10.1007/..
 
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9

Finding the Number of Normal Groups in Model-Based Clusteri..:

Cerioli, Andrea ; García-Escudero, Luis Angel ; Mayo-Iscar, Agustín.
Journal of Computational and Graphical Statistics.  27 (2018)  2 - p. 404-416 , 2018
Link: https://www.jstor.org/st..
 
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10

Robust, fuzzy, and parsimonious clustering, based on mixtur..:

García-Escudero, Luis Angel ; Greselin, Francesca ; Iscar, Agustin Mayo
International Journal of Approximate Reasoning.  94 (2018)  - p. 60-75 , 2018
Link: https://doi.org/10.1016/..
 
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11

Finding the Number of Normal Groups in Model-Based Clusteri..:

Cerioli, Andrea ; García-Escudero, Luis Angel ; Mayo-Iscar, Agustín.
Journal of Computational and Graphical Statistics.  27 (2018)  2 - p. 404-416 , 2018
Link: https://doi.org/10.1080/..
 
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12

A reweighting approach to robust clustering:

Dotto, Francesco ; Farcomeni, Alessio ; García-Escudero, Luis Angel.
Statistics and Computing.  28 (2017)  2 - p. 477-493 , 2017
Link: https://doi.org/10.1007/..
 
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13

Eigenvalues and constraints in mixture modeling: geometric ..:

García-Escudero, Luis Angel ; Gordaliza, Alfonso ; Greselin, Francesca..
Advances in Data Analysis and Classification.  12 (2017)  2 - p. 203-233 , 2017
Link: https://doi.org/10.1007/..
 
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14

The joint role of trimming and constraints in robust estima..:

García-Escudero, Luis Angel ; Gordaliza, Alfonso ; Greselin, Francesca..
Computational Statistics & Data Analysis.  99 (2016)  - p. 131-147 , 2016
Link: https://doi.org/10.1016/..
 
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15

A fuzzy approach to robust regression clustering:

Dotto, Francesco ; Farcomeni, Alessio ; García-Escudero, Luis Angel.
Advances in Data Analysis and Classification.  11 (2016)  4 - p. 691-710 , 2016
Link: https://doi.org/10.1007/..
 
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