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Synopsis
This volume presents results in a very active area of research of interest to statisticians, engineers, and computer scientists. The emphasis is on the applications of these important methods.
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Présentation de l'éditeur
Monte Carlo methods are revolutionizing the on-line analysis of data in fields as diverse as financial modelling, target tracking, and computer vision. These methods, appearing under the names of bootstrap filters, condensation, optimal Monte Carlo filters, particle filters, and survival of the fittest, have made it possible to solve numerically many complex, nonstandard problems that were previously intractable. This book presents the first comprehensive and coherent treatment of these techniques, including convergence results and applications to tracking, guidance, automated target recognition, aircraft navigation, robot navigation, econometrics, financial modelling, neural networks, optimal control, optimal filtering, communications, reinforcement learning, signal enhancement, model averaging and selection, computer vision, semiconductor design, population biology, dynamic Bayesian networks, and time series analysis. This book will be of great value to students, researchers, and practitioners who have some basic knowledge of probability.
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Sequential Monte Carlo Methods in Practice (Statistics for Engineering and Information Science)
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Springer, 2001
ISBN 10 : 0387951466
ISBN 13 : 9780387951461
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Sequential Monte Carlo methods in practice
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Tapa Dura. Etat : Bien. Colección 'Statistics for Engineering and Information Science'. Tapa dura. 168 ilustraciones.9780387951461. Springer. Estados Unidos. 2001. 24x16 centímetros. 581 páginas. Tapa dura. Estado=Bien. Inglés. N° de réf. du vendeur 45285
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Sequential Monte Carlo Methods in Practice (Statistics for Engineering and Information Science)
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Sequential Monte Carlo Methods in Practice (Information Science and Statistics)
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ISBN 13 : 9780387951461
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Gebundene Ausgabe. Etat : Neu. Neu neuware, importqualität, auf lager - Monte Carlo methods are revolutionising the on-line analysis of datain fields as diverse as financial modelling, target tracking andcomputer vision. These methods, appearing under the names of bootstrapfilters, condensation, optimal Monte Carlo filters, particle filtersand survial of the fittest, have made it possible to solve numericallymany complex, non-standarard problems that were previouslyintractable.This book presents the first comprehensive treatment of thesetechniques, including convergence results and applications totracking, guidance, automated target recognition, aircraft navigation,robot navigation, econometrics, financial modelling, neuralnetworks,optimal control, optimal filtering, communications,reinforcement learning, signal enhancement, model averaging andselection, computer vision, semiconductor design, population biology,dynamic Bayesian networks, and time series analysis. This will be ofgreat value to students, researchers and practicioners, who have somebasic knowledge of probability.Arnaud Doucet received the Ph. D. degree from the University of Paris-XI Orsay in 1997. From 1998 to 2000, he conducted research at theSignal Processing Group of Cambridge University, UK. He is currentlyan assistant professor at the Department of Electrical Engineering ofMelbourne University, Australia. His research interests includeBayesian statistics, dynamic models and Monte Carlo methods.Nando de Freitas obtained a Ph.D. degree in information engineeringfrom Cambridge University in 1999. He is presently a researchassociate with the artificial intelligence group of the University ofCalifornia at Berkeley. His main research interests are in Bayesianstatistics and the application of on-line and batch Monte Carlomethods to machine learning. N° de réf. du vendeur INF1000400341
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Sequential Monte Carlo Methods in Practice (Statistics for Engineering and Information Science)
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ISBN 10 : 0387951466
ISBN 13 : 9780387951461
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Sequential Monte Carlo Methods in Practice
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Springer New York, 2001
ISBN 10 : 0387951466
ISBN 13 : 9780387951461
Neuf
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. - Monte Carlo Methods is a very hot area of research- Book s emphasis is on applications that span many disciplines- requires only basic knowledge of probabilityMonte Carlo methods are revolutionizing the on-line analysis of data in many fileds. N° de réf. du vendeur 5912358
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Sequential Monte Carlo Methods in Practice
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Springer, 2001
ISBN 10 : 0387951466
ISBN 13 : 9780387951461
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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