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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : LIBRERÍA SOLÓN, Madrid, M, Espagne
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
Quantité disponible : 1 disponible(s)
Vendeur : BennettBooksLtd, Los Angeles, CA, Etats-Unis
hardcover. Etat : New. In shrink wrap. Looks like an interesting title! N° de réf. du vendeur Q-0387951466
Quantité disponible : 1 disponible(s)
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Hardcover. Etat : Like New. Like New. book. N° de réf. du vendeur ERICA77303879514666
Quantité disponible : 1 disponible(s)
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 461983
Quantité disponible : Plus de 20 disponibles
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : New. N° de réf. du vendeur 461983-n
Quantité disponible : Plus de 20 disponibles
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Etat : New. In. N° de réf. du vendeur ria9780387951461_new
Quantité disponible : Plus de 20 disponibles
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : New. N° de réf. du vendeur 461983-n
Quantité disponible : Plus de 20 disponibles
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 461983
Quantité disponible : Plus de 20 disponibles
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Hardback. Etat : 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. N° de réf. du vendeur LU-9780387951461
Quantité disponible : Plus de 20 disponibles
Vendeur : moluna, Greven, Allemagne
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
Quantité disponible : Plus de 20 disponibles