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Sequential Monte Carlo Methods for Nonlinear Discrete-Time Filtering (Synthesis Lectures on Signal Processing)
Language: English
Published by Morgan & Claypool Publishers, 2013
ISBN 10: 1627051198 ISBN 13: 9781627051194
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Sequential Monte Carlo Methods in Practice (Statistics for Engineering and Information Science)
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Taschenbuch. Condition: Neu. Sequential Monte Carlo Methods for Nonlinear Discrete-Time Filtering | Marcelo G. S. Bruno (u. a.) | Taschenbuch | Synthesis Lectures on Signal Processing | xi | Englisch | 2013 | Springer | EAN 9783031014079 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Fast Sequential Monte Carlo Methods for Counting and Optimization (Wiley Series in Probability and Statistics)
Book 254 of 358: Wiley Series in Probability and StatisticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Fast Sequential Monte Carlo Methods for Counting and Optimization
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Fast Sequential Monte Carlo Methods for Counting and Optimization
Book 254 of 358: Wiley Series in Probability and StatisticsLanguage: English
Published by John Wiley & Sons Inc, 2014
ISBN 10: 1118612264 ISBN 13: 9781118612262
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Add to basketCondition: New. This book presents the first comprehensive account of fast sequential Monte Carlo (SMC) methods for counting and optimization at an exceptionally accessible level. Written by authorities in the field, it places great emphasis on cross-entropy, minimum cross-entropy, splitting, and stochastic enumeration. Series: Wiley Series in Probability and Statistics. Num Pages: 208 pages, Illustrations. BIC Classification: PBKS; PBT. Category: (P) Professional & Vocational. Dimension: 167 x 242 x 16. Weight in Grams: 426. . 2013. 1st Edition. Hardcover. . . . .
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Fast Sequential Monte Carlo Methods for Counting and Optimization
Book 254 of 358: Wiley Series in Probability and StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Fast Sequential Monte Carlo Methods for Counting and Optimization (Wiley Series in Probability and Statistics)
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Fast Sequential Monte Carlo Methods for Counting and Optimization
Book 254 of 358: Wiley Series in Probability and StatisticsLanguage: English
Published by John Wiley & Sons Inc, 2013
ISBN 10: 1118612264 ISBN 13: 9781118612262
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Add to basketHardcover. Condition: Brand New. 1st edition. 208 pages. 9.00x6.00x0.75 inches. In Stock.
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Fast Sequential Monte Carlo Methods for Counting and Optimization
Book 254 of 358: Wiley Series in Probability and StatisticsUS$ 151.37
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Add to basketGebunden. Condition: New. REUVEN Y. RUBINSTEIN, DSc, was Professor Emeritus in the Faculty of Industrial Engineering and Management at Technion-Israel Institute of Technology. The author of over 100 articles and six books, Dr. Rubinstein was also the inventor of the popular score-fu.
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Fast Sequential Monte Carlo Methods for Counting and Optimization
Book 254 of 358: Wiley Series in Probability and StatisticsLanguage: English
Published by John Wiley & Sons Inc, 2013
ISBN 10: 1118612264 ISBN 13: 9781118612262
Condition: New. This book presents the first comprehensive account of fast sequential Monte Carlo (SMC) methods for counting and optimization at an exceptionally accessible level. Written by authorities in the field, it places great emphasis on cross-entropy, minimum cross-entropy, splitting, and stochastic enumeration. Series: Wiley Series in Probability and Statistics. Num Pages: 208 pages, Illustrations. BIC Classification: PBKS; PBT. Category: (P) Professional & Vocational. Dimension: 167 x 242 x 16. Weight in Grams: 426. . 2013. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
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Buch. Condition: Neu. Neuware - A comprehensive account of the theory and application of Monte Carlo methodsBased on years of research in efficient Monte Carlo methods for estimation of rare-event probabilities, counting problems, and combinatorial optimization, Fast Sequential Monte Carlo Methods for Counting and Optimization is a complete illustration of fast sequential Monte Carlo techniques. The book provides an accessible overview of current work in the field of Monte Carlo methods, specifically sequential Monte Carlo techniques, for solving abstract counting and optimization problems.Written by authorities in the field, the book places emphasis on cross-entropy, minimum cross-entropy, splitting, and stochastic enumeration. Focusing on the concepts and application of Monte Carlo techniques, Fast Sequential Monte Carlo Methods for Counting and Optimization includes:\* Detailed algorithms needed to practice solving real-world problems\* Numerous examples with Monte Carlo method produced solutions within the 1-2% limit of relative error\* A new generic sequential importance sampling algorithm alongside extensive numerical results\* An appendix focused on review material to provide additional background informationFast Sequential Monte Carlo Methods for Counting and Optimization is an excellent resource for engineers, computer scientists, mathematicians, statisticians, and readers interested in efficient simulation techniques. The book is also useful for upper-undergraduate and graduate-level courses on Monte Carlo methods.
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Sequential Monte Carlo Methods in Practice
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Sequential Monte Carlo Methods in Practice (Information Science and Statistics)
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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
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Sequential Monte Carlo Methods in Practice
Language: English
Published by Springer-Verlag New York Inc., US, 2001
ISBN 10: 0387951466 ISBN 13: 9780387951461
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Add to basketHardback. Condition: New. 2001 ed. Monte Carlo methods are revolutionising 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 survial of the fittest, have made it possible to solve numerically many complex, non-standarard problems that were previously intractable. This book presents the first comprehensive 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 will be of great value to students, researchers and practicioners, who have some basic 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 the Signal Processing Group of Cambridge University, UK. He is currently an assistant professor at the Department of Electrical Engineering of Melbourne University, Australia. His research interests include Bayesian statistics, dynamic models and Monte Carlo methods. Nando de Freitas obtained a Ph.D. degree in information engineering from Cambridge University in 1999. He is presently a research associate with the artificial intelligence group of the University of California at Berkeley. His main research interests are in Bayesian statistics and the application of on-line and batch Monte Carlo methods to machine learning.
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Taschenbuch. Condition: Neu. Sequential Monte Carlo Methods in Practice | Arnaud Doucet (u. a.) | Taschenbuch | Information Science and Statistics | xxviii | Englisch | 2010 | Humana | EAN 9781441928870 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: As New. Unread book in perfect condition.
