Statistical Modelling by Exponential Families -

Statistical Modelling by Exponential Families

Trade Paperback

$86.00

Or 4 payments of $21.50 with

delivery message Free delivery for orders over $49.99

Add to Favourites
Delivered in 10 - 14 days
Available for Click and Collect
This book is a readable, digestible introduction to exponential families, encompassing statistical models based on the most useful distributions in statistical theory, including the normal, gamma, binomial, Poisson, and negative binomial. Strongly motivated by applications, it presents the essential theory and then demonstrates the theory's practical potential by connecting it with developments in areas like item response analysis, social network models, conditional independence and latent variable structures, and point process models. Extensions to incomplete data models and generalized linear models are also included. In addition, the author gives a concise account of the philosophy of Per Martin-Loef in order to connect statistical modelling with ideas in statistical physics, including Boltzmann's law. Written for graduate students and researchers with a background in basic statistical inference, the book includes a vast set of examples demonstrating models for applications and exercises embedded within the text as well as at the ends of chapters.

Product code: 9781108701112

ISBN 9781108701112
Publisher Cambridge University Press
No. Of Pages 296
Dimensions (HxWxD in mm) H228xW152xS17
Series Institute of Mathematical Statistics Textbooks
This readable, digestible introduction to exponential families of distributions covers the essential theory and demonstrates its use in applications. Containing a vast set of examples and numerous exercises, it is written for graduate students and researchers with a background in basic statistical inference.