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You searched IISERK - Title: Bayesian modeling of spatio-temporal data with R / Sujit K. Sahu.
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Call Number 519.5/42
Author Koski, Timo.
Title Bayesian networks [electronic resource] : an introduction / Timo Koski, John M. Noble.
Publication Chichester, West Sussex, UK : John Wiley, c2009.
Material Info. 1 online resource (viii, 347 p.) : ill.
Series Wiley series in probability and statistics
Series Wiley series in probability and statistics.
Summary Note Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout. Features include:.: An introduction to Dirichlet Distribution, Exponential Families and their applications.; A detailed description of learni.
Notes Includes bibliographical references (p. [355]-341) and index.
Notes Graphical models and probabilistic reasoning -- Conditional independence, graphs, and d-separation -- Evidence, sufficiency and Monte Carlo methods -- Decomposable graphs and chain graphs -- Learning the conditional probability potentials -- Learning the graph structure -- Parameters and sensitivity -- Graphical models and exponential families -- Causality and intervention calculus -- The junction tree and probability updating -- Factor graphs and the sum product algorithm.
ISBN 9780470684030 (electronic bk.)
ISBN 0470684038 (electronic bk.)
ISBN 9780470684023
ISBN 047068402X
Subject Bayesian statistical decision theory.
Subject Neural networks (Computer science)
Subject Mathematics.
Subject MATHEMATICS Probability & Statistics Bayesian Analysis.
Subject Electronic books.
Added Entry Noble, John M.
Date Year, Month, Day:01405141
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