Read Statistical Modelling by Exponential Families (Institute of Mathematical Statistics Textbooks, Series Number 12)

Statistical Modelling by Exponential Families (Institute of Mathematical Statistics Textbooks, Series Number 12)

Rolf Sundberg

4.9/5 (28733 ratings)

Description: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-L�f 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Statistical Modelling by Exponential Families (Institute of Mathematical Statistics Textbooks, Series Number 12). To get started finding Statistical Modelling by Exponential Families (Institute of Mathematical Statistics Textbooks, Series Number 12), you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 1108701116

Description: 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-L�f 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Statistical Modelling by Exponential Families (Institute of Mathematical Statistics Textbooks, Series Number 12). To get started finding Statistical Modelling by Exponential Families (Institute of Mathematical Statistics Textbooks, Series Number 12), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Statistical Modelling by Exponential Families (Institute of Mathematical Statistics Textbooks, Series Number 12)

Statistical Modelling by Exponential Families (Institute of Mathematical Statistics Textbooks, Series Number 12)

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