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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.
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.
important developments in modelling of complex stochastic phenomena.
This book will be an essential reference for people interested in
artificial intelligence in both computer science and statistics.
| Erscheinungsjahr: | 2007 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 336 |
| Reihe: | Information Science and Statistics |
| Inhalt: |
xii
324 S. |
| ISBN-13: | 9780387718231 |
| ISBN-10: | 0387718230 |
| Sprache: | Englisch |
| Herstellernummer: | 12028931 |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Cowell, Robert G.
Spiegelhalter, David J. Lauritzen, Steffen L. Dawid, Philip |
| Auflage: | 1999 |
| Hersteller: |
Springer New York
Springer US, New York, N.Y. Information Science and Statistics |
| Maße: | 235 x 155 x 19 mm |
| Von/Mit: | Robert G. Cowell (u. a.) |
| Erscheinungsdatum: | 16.07.2007 |
| Gewicht: | 0,511 kg |
important developments in modelling of complex stochastic phenomena.
This book will be an essential reference for people interested in
artificial intelligence in both computer science and statistics.
| Erscheinungsjahr: | 2007 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 336 |
| Reihe: | Information Science and Statistics |
| Inhalt: |
xii
324 S. |
| ISBN-13: | 9780387718231 |
| ISBN-10: | 0387718230 |
| Sprache: | Englisch |
| Herstellernummer: | 12028931 |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Cowell, Robert G.
Spiegelhalter, David J. Lauritzen, Steffen L. Dawid, Philip |
| Auflage: | 1999 |
| Hersteller: |
Springer New York
Springer US, New York, N.Y. Information Science and Statistics |
| Maße: | 235 x 155 x 19 mm |
| Von/Mit: | Robert G. Cowell (u. a.) |
| Erscheinungsdatum: | 16.07.2007 |
| Gewicht: | 0,511 kg |
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