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.
Les mer
Produktdetaljer
ISBN
9783319189680
Publisert
2018
Utgiver
Vendor
Springer
Språk
Product language
Engelsk
Format
Product format
Digital bok