Graphical Models, Exponential Families, and Variational Inference

Graphical Models, Exponential Families, and Variational Inference
Author: Martin J. Wainwright
Publisher: Now Publishers Inc
Total Pages: 324
Release: 2008
Genre: Computers
ISBN: 1601981848


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The core of this paper is a general set of variational principles for the problems of computing marginal probabilities and modes, applicable to multivariate statistical models in the exponential family.


Graphical Models, Exponential Families, and Variational Inference
Language: en
Pages: 324
Authors: Martin J. Wainwright
Categories: Computers
Type: BOOK - Published: 2008 - Publisher: Now Publishers Inc

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The core of this paper is a general set of variational principles for the problems of computing marginal probabilities and modes, applicable to multivariate sta
Probabilistic Graphical Models
Language: en
Pages: 1270
Authors: Daphne Koller
Categories: Computers
Type: BOOK - Published: 2009-07-31 - Publisher: MIT Press

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A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making deci
Statistical Modelling by Exponential Families
Language: en
Pages: 297
Authors: Rolf Sundberg
Categories: Mathematics
Type: BOOK - Published: 2019-08-29 - Publisher: Cambridge University Press

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This book is a readable, digestible introduction to exponential families, encompassing statistical models based on the most useful distributions in statistical
Bayesian Reasoning and Machine Learning
Language: en
Pages: 739
Authors: David Barber
Categories: Computers
Type: BOOK - Published: 2012-02-02 - Publisher: Cambridge University Press

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A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.
Handbook of Graphical Models
Language: en
Pages: 612
Authors: Marloes Maathuis
Categories: Mathematics
Type: BOOK - Published: 2018-11-12 - Publisher: CRC Press

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A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computati