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Probabilistic Networks and Expert Systems: Exact Computational Methods for Baye
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eBay item number:355395830291
Item specifics
- Condition
- Book Title
- Probabilistic Networks and Expert Systems: Exact Computational Me
- ISBN
- 9780387718231
- Publication Year
- 2007
- Series
- Information Science and Statistics Ser.
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Publication Name
- Probabilistic Networks and Expert Systems : Exact Computational Methods for Bayesian Networks
- Item Length
- 9.3in
- Publisher
- Springer New York
- Item Width
- 6.1in
- Item Weight
- 18.2 Oz
- Number of Pages
- Xii, 324 Pages
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
0387718230
ISBN-13
9780387718231
eBay Product ID (ePID)
60461807
Product Key Features
Publication Name
Probabilistic Networks and Expert Systems : Exact Computational Methods for Bayesian Networks
Format
Trade Paperback
Language
English
Publication Year
2007
Series
Information Science and Statistics Ser.
Type
Textbook
Number of Pages
Xii, 324 Pages
Dimensions
Item Length
9.3in
Item Width
6.1in
Item Weight
18.2 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
Intended Audience
Scholarly & Professional
Illustrated
Yes
Genre
Computers, Mathematics
Item description from the seller
Seller assumes all responsibility for this listing.
eBay item number:355395830291
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