TY - BOOK ID - 8817358 TI - Probabilistic networks and expert systems AU - Cowell, Robert G. AU - Dawid, A. Philip AU - Lauritzen, Steffen L. PY - 1999 SN - 0387987673 9786610145782 1280145781 0387226303 PB - New York Springer DB - UniCat KW - 519.2 KW - Probability. Mathematical statistics KW - 519.2 Probability. Mathematical statistics KW - Mathematics. KW - Artificial intelligence. KW - Probabilities. KW - Statistics. KW - Probability Theory and Stochastic Processes. KW - Statistical Theory and Methods. KW - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. KW - Artificial Intelligence (incl. Robotics). KW - Expert systems (Computer science) KW - Probabilities KW - Probability KW - Statistical inference KW - Combinations KW - Mathematics KW - Chance KW - Least squares KW - Mathematical statistics KW - Risk KW - Knowledge-based systems (Computer science) KW - Systems, Expert (Computer science) KW - Artificial intelligence KW - Computer systems KW - Soft computing KW - Stochastic processes KW - Artificial intelligence. Robotics. Simulation. Graphics KW - Expert systems (Computer science). KW - Systèmes experts (Informatique) KW - Probabilités KW - EPUB-LIV-FT SPRINGER-B KW - Distribution (Probability theory. KW - Mathematical statistics. KW - Artificial Intelligence. KW - Statistics . KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Statistical analysis KW - Statistical data KW - Statistical methods KW - Statistical science KW - Econometrics KW - Expert systems (computer science) UR - https://www.unicat.be/uniCat?func=search&query=sysid:8817358 AB - 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 Association’s 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. ER -