Download Bayesian Nonparametrics (Springer Series in Statistics) by J.K. Ghosh,R.V. Ramamoorthi PDF

By J.K. Ghosh,R.V. Ramamoorthi

This e-book is the 1st systematic remedy of Bayesian nonparametric equipment and the speculation at the back of them. it's going to additionally attract statisticians quite often. The booklet is essentially geared toward graduate scholars and will be used because the textual content for a graduate direction in Bayesian non-parametrics.

Show description

Read or Download Bayesian Nonparametrics (Springer Series in Statistics) PDF

Best probability & statistics books

Weibull Models (Wiley Series in Probability and Statistics)

A accomplished viewpoint on Weibull versions The literature on Weibull versions is great, disjointed, and scattered throughout many alternative journals. Weibull versions is a finished consultant that integrates all of the diverse points of Weibull types in one quantity. This e-book might be of serious support to practitioners in reliability and different disciplines within the context of modeling information units utilizing Weibull types.

Statistical Methods in Computer Security (Statistics: A Series of Textbooks and Monographs)

Statistical equipment in desktop protection summarizes discussions held on the contemporary Joint Statistical assembly to supply a transparent format of present purposes within the box. This blue-ribbon reference discusses the main influential developments in desktop safeguard coverage, firewalls, and defense matters concerning passwords.

Incomplete Categorical Data Design: Non-Randomized Response Techniques for Sensitive Questions in Surveys (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Respondents to survey questions concerning delicate details, reminiscent of sexual habit, unlawful drug utilization, tax evasion, and source of revenue, may possibly refuse to reply to the questions or offer untruthful solutions to guard their privateness. This creates a problem in drawing legitimate inferences from in all probability faulty info.

Probability Measures on Metric Spaces

Likelihood Measures on Metric areas offers the overall idea of chance measures in summary metric areas. This publication offers with whole separable metric teams, in the neighborhood impression abelian teams, Hilbert areas, and the areas of constant services. equipped into seven chapters, this booklet starts with an outline of isomorphism theorem, which states that Borel subsets of whole separable metric areas are isomorphic if and provided that they've got an identical cardinality.

Extra info for Bayesian Nonparametrics (Springer Series in Statistics)

Sample text

Download PDF sample

Rated 4.30 of 5 – based on 29 votes