Erschienen: 26.06.2015 Abbildung von Müller / Quintana / Jara | Bayesian Nonparametric Data Analysis | 2015 | 2015

Müller / Quintana / Jara

Bayesian Nonparametric Data Analysis

2015 2015. Buch. xiv, 193 S. 49 s/w-Abbildungen, 10 Farbabbildungen, Bibliographien. Hardcover

Springer. ISBN 978-3-319-18967-3

Format (B x L): 15,5 x 23,5 cm

Gewicht: 479 g

In englischer Sprache

Das Werk ist Teil der Reihe: Springer Series in Statistics

Produktbeschreibung

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.

Autoren

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