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Probabilistic networks and expert sy...
~
Cowell, Robert G.
Probabilistic networks and expert systems
紀錄類型:
書目-電子資源 : 單行本
正題名/作者:
Probabilistic networks and expert systems/ Robert G. Cowell [and others].
其他作者:
Cowell, Robert G.
出版者:
New York :Springer,�999.
面頁冊數:
1 online resource (xii, 321 pages) :illustrations.
標題:
Expert systems (Computer science) -
電子資源:
Click here for online access to this book (查閱全文) (EBSCO eBook)
ISBN:
0387226303 (electronic bk.)
ISBN:
9780387226309 (electronic bk.)
Probabilistic networks and expert systems
Probabilistic networks and expert systems
[electronic resource] /Robert G. Cowell [and others]. - New York :Springer,�999. - 1 online resource (xii, 321 pages) :illustrations. - Statistics for engineering and information science. - Statistics for engineering and information science..
Includes bibliographical references (p. [281]-305) and indexes.
Introduction -- 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.
Winner of the 2002 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. Robert G. Cowell is a Lecturer in the Faculty of Actuarial Science and Insurance of the Sir John Cass Business School, City of London. He has been working on probabilistic expert systems since 1989. A. Philip Dawid is Professor of Statistics at Cambridge University. He has served as Editor of the Journal of the Royal Statistical Society (Series B), Biometrika and Bayesian Analysis, and as President of the International Society for Bayesian Analysis. He holds the Royal Statistical Society Guy Medal in Bronze and in Silver, and the Snedecor Award for the Best Publication in Biometry. Steffen L. Lauritzen is Professor of Statistics at the University of Oxford. He has served as Editor of the Scandinavian Journal of Statistics. He holds the Royal Statistical Society Guy Medal in Silver and is an Honorary Fellow of the same society. He has, jointly with David J. Spiegelhalter, received the American Statistical Associations award for an "Outstanding Statistical Application." David J. Spiegelhalter is Winton Professor of the Public Understanding of Risk at Cambridge University and Senior Scientist in the MRC Biostatistics Unit, Cambridge. He has published extensively on Bayesian methodology and applications, and holds the Royal Statistical Society Guy Medal in Bronze and in Silver.
ISBN: 0387226303 (electronic bk.)Subjects--Topical Terms:
153773
Expert systems (Computer science)
Index Terms--Genre/Form:
172687
Electronic books.
LC Class. No.: QA76.76.E95 / P755 1999eb
Dewey Class. No.: 006.3/3
Probabilistic networks and expert systems
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Winner of the 2002 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. Robert G. Cowell is a Lecturer in the Faculty of Actuarial Science and Insurance of the Sir John Cass Business School, City of London. He has been working on probabilistic expert systems since 1989. A. Philip Dawid is Professor of Statistics at Cambridge University. He has served as Editor of the Journal of the Royal Statistical Society (Series B), Biometrika and Bayesian Analysis, and as President of the International Society for Bayesian Analysis. He holds the Royal Statistical Society Guy Medal in Bronze and in Silver, and the Snedecor Award for the Best Publication in Biometry. Steffen L. Lauritzen is Professor of Statistics at the University of Oxford. He has served as Editor of the Scandinavian Journal of Statistics. He holds the Royal Statistical Society Guy Medal in Silver and is an Honorary Fellow of the same society. He has, jointly with David J. Spiegelhalter, received the American Statistical Associations award for an "Outstanding Statistical Application." David J. Spiegelhalter is Winton Professor of the Public Understanding of Risk at Cambridge University and Senior Scientist in the MRC Biostatistics Unit, Cambridge. He has published extensively on Bayesian methodology and applications, and holds the Royal Statistical Society Guy Medal in Bronze and in Silver.
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