Generalized Linear Models: A Bayesian Perspective

Generalized Linear Models: A Bayesian Perspective
ISBN-10
0824790340
ISBN-13
9780824790349
Series
Generalized Linear Models
Category
Mathematics
Pages
450
Language
English
Published
2000-05-25
Publisher
CRC Press
Authors
Bani K. Mallick, SUJIT K. GHOSH, Dipak K. Dey

Description

This volume describes how to conceptualize, perform, and critique traditional generalized linear models (GLMs) from a Bayesian perspective and how to use modern computational methods to summarize inferences using simulation. Introducing dynamic modeling for GLMs and containing over 1000 references and equations, Generalized Linear Models considers parametric and semiparametric approaches to overdispersed GLMs, presents methods of analyzing correlated binary data using latent variables. It also proposes a semiparametric method to model link functions for binary response data, and identifies areas of important future research and new applications of GLMs.

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