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catalog contributor b13238278.
catalog contributor b13238279.
catalog contributor b13238280.
catalog contributor b13238281.
catalog created "c2001.".
catalog date "2001".
catalog date "c2001.".
catalog dateCopyrighted "c2001.".
catalog description "I: Introduction. An introduction to sequential Monte Carlo methods / Arnaud Doucet, Nando de Freitas, and Neil Gordon -- II: Theoretical issues. Particle filters -- a theoretical perspective / Dan Crisan -- Interacting particle filtering with discrete observations / Pierre Del Moral and Jean Jacod -- III: Strategies for improving sequential Monte Carlo methods. Sequential Monte Carlo methods for optimal filtering / Christophe Andrieu, Arnaud Doucet, and Elena Punskaya -- Deterministic and stochastic particle filters in state-space models / Erik Bolviken and Geir Storvik -- RESAMPLE-MOVE filtering with cross-model jumps / Carlo Berzuini and Walter Gilks -- Improvement strategies for Monte Carlo particle filters / Simon Godsill and Tim Clapp -- Approximating and maximising the likelihood for a general state-space model / Markus Hurzeler and Hans R. Kunsch -- Monte Carlo smoothing and self-organising state-space model / Genshiro Kitagawa and Seisho Sato -- Combined parameter and state estimation in simulation-based filtering / Jane Liu and Mike West -- A theoretical framework for sequential importance sampling with resampling / Jun S. Liu, Rong Chen, and Tanya Logvinenko.".
catalog description "Improving regularised particle filters / Christian Musso, Nadia Oudjane, and Francois Le Gland -- Auxiliary variable based particle filters / Michael K. Pitt and Neil Shephard -- Improved particle filters and smoothing / Photis Stavropoulos and D.M. Titterington -- IV: Applications. Posterior Cramer-Rao bounds for sequential estimation / Niclas Bergman -- Statistical models of visual shape and motion / Andrew Blake, Michael Isard, and John MacCormick -- Sequential Monte Carlo methods for neural networks / N de Freitas [and others] -- Sequential estimation of signals under model uncertainty / Petar M. Djuric -- Particle filters for mobile robot localization / Dieter Fox [and others] -- Self-organizing time series model / Tomoyuki Higuchi -- Sampling in factored dynamic systems / Daphne Koller and Uri Lerner -- In-situ ellipsometry solutions using sequential Monte Carlo / Alan D. Marrs -- Manoeuvring target tracking using a multiple-model bootstrap filter / Shaun McGinnity and George W. Irwin -- Rao-Blackwellised particle filtering for dynamic Bayesian networks / Kevin Murphy and Stuart Russell -- Particles and mixtures for tracking and guidance / David Salmond and Neil Gordon -- Monte Carlo techniques for automated target recognition / Anuj Srivastava [and others].".
catalog description "Includes bibliographical references (p. [553]-576) and index.".
catalog extent "xxvii, 581 p. :".
catalog identifier "0387951466 (alk. paper)".
catalog isPartOf "Statistics for engineering and information science".
catalog issued "2001".
catalog issued "c2001.".
catalog language "eng".
catalog publisher "New York : Springer,".
catalog subject "519.2/82 21".
catalog subject "Monte Carlo method.".
catalog subject "Monte-Carlo, Méthode de.".
catalog subject "QA298 .S47 2001".
catalog tableOfContents "I: Introduction. An introduction to sequential Monte Carlo methods / Arnaud Doucet, Nando de Freitas, and Neil Gordon -- II: Theoretical issues. Particle filters -- a theoretical perspective / Dan Crisan -- Interacting particle filtering with discrete observations / Pierre Del Moral and Jean Jacod -- III: Strategies for improving sequential Monte Carlo methods. Sequential Monte Carlo methods for optimal filtering / Christophe Andrieu, Arnaud Doucet, and Elena Punskaya -- Deterministic and stochastic particle filters in state-space models / Erik Bolviken and Geir Storvik -- RESAMPLE-MOVE filtering with cross-model jumps / Carlo Berzuini and Walter Gilks -- Improvement strategies for Monte Carlo particle filters / Simon Godsill and Tim Clapp -- Approximating and maximising the likelihood for a general state-space model / Markus Hurzeler and Hans R. Kunsch -- Monte Carlo smoothing and self-organising state-space model / Genshiro Kitagawa and Seisho Sato -- Combined parameter and state estimation in simulation-based filtering / Jane Liu and Mike West -- A theoretical framework for sequential importance sampling with resampling / Jun S. Liu, Rong Chen, and Tanya Logvinenko.".
catalog tableOfContents "Improving regularised particle filters / Christian Musso, Nadia Oudjane, and Francois Le Gland -- Auxiliary variable based particle filters / Michael K. Pitt and Neil Shephard -- Improved particle filters and smoothing / Photis Stavropoulos and D.M. Titterington -- IV: Applications. Posterior Cramer-Rao bounds for sequential estimation / Niclas Bergman -- Statistical models of visual shape and motion / Andrew Blake, Michael Isard, and John MacCormick -- Sequential Monte Carlo methods for neural networks / N de Freitas [and others] -- Sequential estimation of signals under model uncertainty / Petar M. Djuric -- Particle filters for mobile robot localization / Dieter Fox [and others] -- Self-organizing time series model / Tomoyuki Higuchi -- Sampling in factored dynamic systems / Daphne Koller and Uri Lerner -- In-situ ellipsometry solutions using sequential Monte Carlo / Alan D. Marrs -- Manoeuvring target tracking using a multiple-model bootstrap filter / Shaun McGinnity and George W. Irwin -- Rao-Blackwellised particle filtering for dynamic Bayesian networks / Kevin Murphy and Stuart Russell -- Particles and mixtures for tracking and guidance / David Salmond and Neil Gordon -- Monte Carlo techniques for automated target recognition / Anuj Srivastava [and others].".
catalog title "Sequential Monte Carlo methods in practice / Arnaud Doucet, Nando de Freitas, Neil Gordon, editors ; foreword by Adrian Smith.".
catalog type "text".