Bayesian Statistics and Its Applications

by Dipak K. Dey

A first course in linear model theory

by Nalini Ravishanker, Dipak K. Dey

In this chapter, we introduce basic results dealing with vector spaces and matrices, which are essential for an understa...

Extreme Value Modeling and Risk Analysis

by Dipak K. Dey, Jun Yan

First Course in Linear Model Theory, Second Edition

by Nalini Ravishanker, Dipak K. Dey

Bayesian Inference in Evolution Biology

by Dipak K. Dey, Kent E. Holsinger

Bayesian Thinking, Modeling and Computation

by Dipak K. Dey, C. R. Rao

Essential Bayesian Models

by C. R. Rao, Dipak K. Dey

A First Course in Linear Model Theory

by Nalini Ravishanker and Dipak K. Dey

Bayesian modeling in bioinformatics

by Dipak K. Dey, Samiran Ghosh

Generalized Linear Models

by Dipak K. Dey, Sujit K. Ghosh

Generalized linear models

by Dipak Dey, Bani K. Mallick

Bayesian thinking

by Dipak Dey, Rao, C. Radhakrishna

Current trends in Bayesian methodology with applications

by Satyanshu K. Upadhyay, Umesh Singh

Bayesian modeling in bioinformatics

Generalized linear models

ABSTRACT Generalized linear models (GLMs) offer a unifying class of models which are widely used in regression analysis.