Generalized Linear Models: A Bayesian Perspective

Dey, Dipak K.; Ghosh, Sujit K.; Mallick, Bani K.

ISBN 10: 0824790340 / ISBN 13: 9780824790349

Published by Taylor & Francis, 2000

About this Item

423 pages. Ex-library marks, light wear; a good sound binding; good overall. Quantity Available: 1. Category: Mathematics; ISBN: 0824790340. ISBN/EAN: 9780824790349. Inventory No: 230382.

Seller Inventory # 230382

Bibliographic Details

• Title: Generalized Linear Models: A Bayesian Perspective
• Publisher: Taylor & Francis
• Publication Date: 2000
• Language: English
• ISBN 10: 0824790340
• ISBN 13: 9780824790349
• Binding: Hardcover
• Condition: Good
• Dust Jacket Condition: No Dust Jacket
• Seller catalogs:
  • Mathematics

About this title

Synopsis

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.

About the Author

Dipak K. Dey, Sujit K. Ghosh , Bani K. Mallick