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Statistical Modelling by Exponential Families (Institute of Mathematical Statistics Textbooks Book 12) by [Rolf Sundberg]

Statistical Modelling by Exponential Families (Institute of Mathematical Statistics Textbooks Book 12) 1st Edition, Kindle Edition

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Product description


'Rolf Sundberg’s book gives attractive properties of the exponential family and illustrates them for a wide variety of applications. Definitions are concise and most propositions look directly appealing. The writing reflects the author’s experience in deriving results that are essential for good modelling and convincing inference. Thus, this book is indispensable for all data scientists, be they graduate students or experienced researchers.' Nanny Wermuth, Chalmers tekniska högskola, Sweden

‘This is an excellent book on exponential families. It covers not only the basic properties of exponential families but also several modern topics such as graphical models and random networks. The author blends theories and applications elegantly and provides several useful examples from various scientific domains. It is suitable for a one-semester graduate-level course and will be an excellent reference for topic courses such as stochastic modeling and parametric models.’ Yen-Chi Chen, Journal of the American Statistical Association

‘Overall, this is a clearly written, graduate-level introduction to an important area of statistical modelling. The numerous examples and exercises included throughout provide invaluable illustrations across a number of application areas, making this a useful reference for both researchers and practitioners. As a textbook, it is an excellent starting point for either a taught course on statistical inference with an emphasis on data from the exponential family, or for self-directed study in this area.’ Fraser Daly, Institute of Mathematical Statistics Textbooks

‘This book is perfect for an introductory theoretical graduate course but its parts could also definitely be used in a more applied course. The only prerequisite is basic mathematical statistics. The book is also very handy as a general reference on exponential families. To keep the content simple, the author sometimes avoids the most technical details; however, all necessary references are provided for the reader’s convenience. In this sense the book can be used by any researcher interested in exponential families from either a more theoretical or more applied point of view.’ Piotr Zwiernik, MathSciNet
--This text refers to the hardcover edition.

Book Description

A readable, digestible introduction to essential theory and wealth of applications, with a vast set of examples and numerous exercises. --This text refers to the hardcover edition.

Product details

  • ASIN ‏ : ‎ B07T9MD72W
  • Publisher ‏ : ‎ Cambridge University Press; 1st edition (Aug. 29 2019)
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 5545 KB
  • Simultaneous device usage ‏ : ‎ Up to 4 simultaneous devices, per publisher limits
  • Text-to-Speech ‏ : ‎ Enabled
  • Screen Reader ‏ : ‎ Supported
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Sticky notes ‏ : ‎ On Kindle Scribe
  • Print length ‏ : ‎ 297 pages
  • Customer Reviews:
    5.0 5.0 out of 5 stars 3 ratings

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5.0 out of 5 stars Good condition and delivered speedily
Reviewed in the United Kingdom 🇬🇧 on November 19, 2021
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Elvisicizon Cui
5.0 out of 5 stars one of the best books on exponential families
Reviewed in the United States 🇺🇸 on November 3, 2019
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