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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Bibliographic Details

Main Author:	Eguchi, Shinto (Author)
Corporate Author:	SpringerLink (Online service)
Format:	Electronic eBook
Language:	English
Published:	Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edition:	1st ed. 2025.
Series:	JSS Research Series in Statistics,
Subjects:	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.
Online Access:	https://doi.org/10.1007/978-981-97-8880-4
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