Can I read Bayesian Nonparametric Data Analysis (Springer Series in Statistics) on EtoBox?

Bayesian Nonparametric Data Analysis (Springer Series in Statistics) by Peter Müller, Fernando Andres Quintana, Alejandro Jara, Tim Hanson (auth.) is a nonfiction available to read on EtoBox.

What is Bayesian Nonparametric Data Analysis (Springer Series in Statistics) about?

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 bookℓ́ℓs 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

Who reads Bayesian Nonparametric Data Analysis (Springer Series in Statistics)?

Author

Peter Müller, Fernando Andres Quintana, Alejandro Jara, Tim Hanson (auth.)

Publisher

Springer International Publishing : Imprint: Springer

Published

2015

Language

EN

ISBN

9783319189680

Category

nonfiction

Subjects

Computer Science, Medical, Mathematics

Updated

2026-03-24