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.
General
Imprint: |
Cambridge UniversityPress
|
Country of origin: |
United Kingdom |
Series: |
Institute of Mathematical Statistics Textbooks |
Release date: |
August 2019 |
Authors: |
Rolf Sundberg
|
Dimensions: |
228 x 152 x 17mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
296 |
ISBN-13: |
978-1-108-70111-2 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
Probability & statistics
|
LSN: |
1-108-70111-6 |
Barcode: |
9781108701112 |
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