Bayesian Nonparametric Data Analysis

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's structure follows a data analysis perspective. As such, the chapters are organized by traditional d...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Müller, Peter (Autor), Quintana, Fernando Andres (Autor), Jara, Alejandro (Autor), Hanson, Tim (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Springer Series in Statistics,
Temas:
Statistics .
Mathematical statistics-Data processing.
Biometry.
Statistical Theory and Methods.
Statistics and Computing.
Biostatistics.
Acceso en línea:Texto Completo

MARC

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505 0 |a Preface -- Acronyms -- 1.Introduction -- 2.Density Estimation - DP Models -- 3.Density Estimation - Models Beyond the DP -- 4.Regression -- 5.Categorical Data -- 6.Survival Analysis -- 7.Hierarchical Models -- 8.Clustering and Feature Allocation -- 9.Other Inference Problems and Conclusions -- Appendix: DP package. 
520 |a 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's 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 on-line software pages. 
650 0 |a Statistics . 
650 0 |a Mathematical statistics-Data processing. 
650 0 |a Biometry. 
650 1 4 |a Statistical Theory and Methods. 
650 2 4 |a Statistics and Computing. 
650 2 4 |a Biostatistics. 
700 1 |a Quintana, Fernando Andres.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Jara, Alejandro.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Hanson, Tim.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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