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Information Science and Statistics Ser.: Probabilistic Networks and Expert Systems : Exact Computational Methods for Bayesian Networks by A. Philip Dawid, Robert G. Cowell and Steffen L. Lauritzen (2003, Hardcover)

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Pages: 336.

About this product

Product Information

WINNER OF THE 2001 DEGROOT PRIZE! Probabilistic expert systems are graphical networks that support the modelling of uncertainty and decisions in large complex domains, while retaining ease of calculation. Building on original research by the authors over a number of years, this book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms, emphasizing those cases in which exact answers are obtainable. It covers both the updating of probabilistic uncertainty in the light of new evidence, and statistical inference, about unknown probabilities or unknown model structure, in the light of new data. The careful attention to detail will make this work an important reference source for all those involved in the theory and applications of probabilistic expert systems. This book was awarded the first DeGroot Prize by the International Society for Bayesian Analysis for a book making an important, timely, thorough, and notably original contribution to the statistics literature.

Product Identifiers

Publisher
Springer New York
ISBN-10
0387987673
ISBN-13
9780387987675
eBay Product ID (ePID)
127411610

Product Key Features

Author
A. Philip Dawid, Robert G. Cowell, Steffen L. Lauritzen
Publication Name
Probabilistic Networks and Expert Systems : Exact Computational Methods for Bayesian Networks
Format
Hardcover
Language
English
Publication Year
2003
Series
Information Science and Statistics Ser.
Type
Textbook
Number of Pages
Xii, 324 Pages

Dimensions

Item Length
9.3in
Item Height
0.3in
Item Width
6.1in
Item Weight
50.8 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Qa273.A1-274.9
Reviews
From the reviews: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION "This important book fills a void in the graphical Markov models literature. The authors have summarized their extensive and influential work in this area and provided a valuable resource both for educators and for practitioners.", From the reviews:JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION"This important book fills a void in the graphical Markov models literature. The authors have summarized their extensive and influential work in this area and provided a valuable resource both for educators and for practitioners."
Table of Content
Logic, Uncertainty, and Probability.- Building and Using Probabilistic Networks.- Graph Theory.- Markov Properties on Graphs.- Discrete Networks.- Gaussian and Mixed Discrete-Gaussian Networks.- Discrete Multistage Decision Networks.- Learning About Probabilities.- Checking Models Against Data.- Structural Learning.
Copyright Date
1999
Topic
Expert Systems, Probability & Statistics / General, Intelligence (Ai) & Semantics
Lccn
99-013242
Intended Audience
Scholarly & Professional
Illustrated
Yes
Genre
Computers, Mathematics

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Picture 1 of 1

Information Science and Statistics Ser.: Probabilistic Networks and Expert Systems : Exact Computational Methods for Bayesian Networks by A. Philip Dawid, Robert G. Cowell and Steffen L. Lauritzen (2003, Hardcover)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

All listings for this product

item 1 Probabilistic Networks and Expert Systems

item 2 Probabilistic Networks and Expert Systems: Exact Computational Methods fo - GOOD

item 3 Probabilistic Networks and Expert S..., Spiegelhalter,

item 4 Probabilistic Networks and Expert Systems: Exact Computational Methods for Baye,

item 5 PROBABILISTIC NETWORKS AND EXPERT SYSTEMS: EXACT By Robert G. Cowell & Philip

item 6 Probabilistic Networks and Expert Systems: Exact Computational Methods for Bayes

item 7 Probabilistic Networks and Expert Systems, Hardcover by Cowell, Robert G. (ED...

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Leadership : Theory and Practice by Peter G. Northouse (2021, Trade Paperback, Revised edition)

Research Design : Qualitative, Quantitative, and Mixed Methods Approaches by J. David Creswell and John W. Creswell (2022, Trade Paperback)

Diagnostic and Statistical Manual of Mental Disorders : DSM-5-TR by American Psychiatric Association (2022, Hardcover)

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