Wiley Series in Probability and Statistics

1 primary work • 3 total works

Mixtures

by Kerrie L. Mengersen, Christian Robert, and Mike Titterington

Published 23 March 2011

This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data set. The parameters describe the component distributions of the mixture; the distributions may be continuous or discrete.

The editors provide a complete account of the applications, mathematical structure and statistical analysis of finite mixture distributions along with MCMC computational methods, together with a range of detailed discussions covering the applications of the methods and features chapters from the leading experts on the subject. The applications are drawn from scientific discipline, including biostatistics, computer science, ecology and finance. This area of statistics is important to a range of disciplines, and its methodology attracts interest from researchers in the fields in which it can be applied.

Mixture

by Kerrie L. Mengersen, Christian Robert, and Mike Titterington

Published 25 April 2011

This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data set. The parameters describe the component distributions of the mixture; the distributions may be continuous or discrete. The editors provide a complete account of the applications, mathematical structure and statistical analysis of finite mixture distributions along with MCMC computational methods, together with a range of detailed discussions covering the applications of the methods and features chapters from the leading experts on the subject. The applications are drawn from scientific discipline, including biostatistics, computer science, ecology and finance. This area of statistics is important to a range of disciplines, and its methodology attracts interest from researchers in the fields in which it can be applied.

Bayesian Analysis of Mixtures

by Kerrie L. Mengersen

Published 4 October 2030

This book will be the first to present the foundational issues of Bayesian modeling, finite and infinite mixture models, and MCMC computational methods, together with a range of detailed case studies covering the applications of the methods. The applications are drawn from a wide range of scientific disciplines, including biostatistics, ecology, bioinformatics, the social sciences and finance.