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Your search keyword '"Garcìa-Escudero, LA"' showing total 3 results
Start Over Author "Garcìa-Escudero, LA" Publisher place:cagliari
3 results on '"Garcìa-Escudero, LA"'

1. An adaptive method to robustify ML estimation in Cluster Weighted Modeling

Author

Cabras, S, Di Battista, T, Racugno, W, Garcìa-Escudero, L, Greselin, F, Gordaliza, A, Mayo-Iscar, A, Ingrassia, S, Garcìa-Escudero, LA, Cabras, S, Di Battista, T, Racugno, W, Garcìa-Escudero, L, Greselin, F, Gordaliza, A, Mayo-Iscar, A, Ingrassia, S, and Garcìa-Escudero, LA

Published
2015

2. Robust clustering for heterogeneous skew data

Author

Mola, F, Conversano, C, Garcìa-Escudero, L, Greselin, F, Mayo-Iscar, A, Garcìa-Escudero, LA, Mayo-Iscar, A., Mola, F, Conversano, C, Garcìa-Escudero, L, Greselin, F, Mayo-Iscar, A, Garcìa-Escudero, LA, and Mayo-Iscar, A.

Abstract

The existing robust methods for model-based classification and clustering deal with elliptically contoured components. Here we introduce robust estimation for mixtures of skew-normal, by the joint usage of trimming and constraints. The model allows to fit heterogeneous skew data with great flexibility.

Published
2015

3. Robust clustering for heterogeneous skew data

Author

Mola, F, Conversano, C, Garcìa-Escudero, L, Greselin, F, Mayo-Iscar, A, Garcìa-Escudero, LA, Mayo-Iscar, A., Mola, F, Conversano, C, Garcìa-Escudero, L, Greselin, F, Mayo-Iscar, A, Garcìa-Escudero, LA, and Mayo-Iscar, A.

Abstract

The existing robust methods for model-based classification and clustering deal with elliptically contoured components. Here we introduce robust estimation for mixtures of skew-normal, by the joint usage of trimming and constraints. The model allows to fit heterogeneous skew data with great flexibility.

Published
2015

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