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Bayesian Nonparametric Data Analysis

Bayesian Nonparametric Data Analysis

Alejandro Jara / Fernando Andres Quintana / Peter Müller

48,25 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2015
Materia
Probabilidad y estadística
ISBN:
9783319189697
48,25 €
IVA incluido
Disponible

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Sobre IBD

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 online software pages.

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