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Minimum Gamma-Divergence for Regression and Classification Problems

This book introduces the gamma-divergence, a measure of distance between probability distributions that was proposed by Fujisawa and Eguchi in 2008. The gamma-divergence has been extensively explored to provide robust estimation when the power index γ is positive. The gamma-divergence can be defined...

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Detalles Bibliográficos
Autor principal: Eguchi, Shinto (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Lenguaje:inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edición:1st ed. 2025.
Colección:JSS Research Series in Statistics,
Materias:
Statistics .
Stochastic models.
Mathematical statistics.
Machine learning.
Regression analysis.
Biometry.
Statistical Theory and Methods.
Stochastic Modelling in Statistics.
Parametric Inference.
Machine Learning.
Linear Models and Regression.
Biostatistics.
Acceso en línea:https://doi.org/10.1007/978-981-97-8880-4
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