• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Statistical Modelling by Exponential Families

Statistical Modelling by Exponential Families

Paperback

Series: Institute of Mathematical Statistics Textbooks, Book 12

Probability & Statistics

ISBN10: 1108701116
ISBN13: 9781108701112
Publisher: Cambridge University Press
Published: Aug 29 2019
Pages: 296
Weight: 0.96
Height: 9.00 Width: 0.50 Depth: 6.00
Language: English
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-Löf 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.

1 different editions

Also available

Also in

Probability & Statistics