Bayesian Nonparametric Data Analysi - E-book

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Bayesian Nonparametric Data Analysis - ENG

Peter Müller; Fernando Andres Quintana; Alejandro Jara; Tim Hanson

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Sinopsis

ISBN:	9783319189680
Formato:	Page Fidelity
Idioma:	Inglés
Editorial:	Springer Nature
Tema:	Matemáticas
Subtema:	Probabilidad y estadística general
Año de publicación:	2015-06-17

This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones. The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in online software pages.

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