Generalized Linear Models: A Bayesian Perspective

✍ Scribed by Dipak K. Dey, Sujit K. Ghosh, Bani K. Mallick

Publisher: CRC Press
Year: 2000
Tongue: English
Leaves: 442
Series: Chapman & Hall CRC Biostatistics Series
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ 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.

📜 SIMILAR VOLUMES

Generalized linear models - a Bayesian p

📁 Generalized linear models - a Bayesian perspective

✍ Dipak K. Dey, Sujit K. Ghosh, Bani K. Mallick 📂 Library 📅 2000 🏛 CRC Press 🌐 English

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, covering random effects in generalized linear mixed models (GLMMs) with explained examp

Multiscale modeling. A Bayesian perspect

📁 Multiscale modeling. A Bayesian perspective

✍ Ferreira M., Lee H. 📂 Library 📅 2007 🏛 Springer 🌐 English

This highly useful book contains methodology for the analysis of data that arise from multiscale processes. It brings together a number of recent developments and makes them accessible to a wider audience. Taking a Bayesian approach allows for full accounting of uncertainty, and also addresses the d

Multiscale Modeling: A Bayesian Perspect

📁 Multiscale Modeling: A Bayesian Perspective

✍ Marco A.R. Ferreira, Herbert K.H. Lee 📂 Library 📅 2007 🏛 Springer 🌐 English

A wide variety of processes occur on multiple scales, either naturally or as a consequence of measurement. This book contains methodology for the analysis of data that arise from such multiscale processes. The book brings together a number of recent developments and makes them accessible to a wider

Generalized Linear Models

📁 Generalized Linear Models

✍ P. McCullagh, J. A. Nelder FRS (auth.) 📂 Library 📅 1989 🏛 Springer US 🌐 English

Generalized Linear Models

📁 Generalized Linear Models

✍ P. McCullagh, J. A. Nelder (auth.) 📂 Library 📅 1983 🏛 Springer US 🌐 English

Generalized Linear Models

📁 Generalized Linear Models

✍ P. McCullagh, John A. Nelder 📂 Library 📅 1989 🏛 Chapman and Hall / CRC 🌐 English

The success of the first edition of <STRONG>Generalized Linear Models</STRONG> led to the updated Second Edition, which continues to provide a definitive unified, treatment of methods for the analysis of diverse types of data. Today, it remains popular for its clarity, richness of content and direct