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Some Advances in Bayesian Nonparametric Modeling: Nested Dirichlet process and nonparametric regression

97,88 
97,88 
2025-07-31 97.8800 InStock
Nemokamas pristatymas į paštomatus per 16-20 darbo dienų užsakymams nuo 19,00 

Knygos aprašymas

Bayesian nonparametric and semiparametric mixture models have become extremely popular in the last 10 years because they provide flexibility and interpretability while preserving computational simplicity. This book is a contribution to this growing literature, discussing the design of models for collections of distributions and their application to density estimation and nonparametric regression. All methods introduced in this book are discussed in the context of complex scientific applications in public health, epidemiology and finance.

Informacija

Autorius: Abel Rodriguez
Leidėjas: LAP LAMBERT Academic Publishing
Išleidimo metai: 2010
Knygos puslapių skaičius: 168
ISBN-10: 3838300122
ISBN-13: 9783838300122
Formatas: Knyga minkštu viršeliu
Kalba: Anglų
Žanras: Probability and statistics

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