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An introduction to Sequential Monte ...

Chopin, Nicolas.

An introduction to Sequential Monte Carlo /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	An introduction to Sequential Monte Carlo /Nicolas Chopin, Omiros Papaspiliopoulos.
作者:	Chopin, Nicolas.
其他作者:	Papaspiliopoulos, Omiros.
出版者:	Cham, Switzerland :Springer,c2020.
面頁冊數:	xxiv, 378 p. :ill. ;24 cm.
標題:	Monte Carlo method.
ISBN:	9783030478445 (hbk.) :

An introduction to Sequential Monte Carlo /
Chopin, Nicolas.

An introduction to Sequential Monte Carlo /Nicolas Chopin, Omiros Papaspiliopoulos. - Cham, Switzerland :Springer,c2020. - xxiv, 378 p. :ill. ;24 cm. - Springer series in statistics,0172-7397 . - Springer series in statistics..

Includes bibliographical references and index

1 Preface -- 2 Introduction to state-space models -- 3 Beyond state-space models -- 4 Introduction to Markov processes -- 5 Feynman-Kac models: definition, properties and recursions -- 6 Finite state-spaces and hidden Markov models -- 7 Linear-Gaussian state-space models -- 8 Importance sampling -- 9 Importance resampling -- 10 Particle filtering -- 11 Convergence and stability of particle filters -- 12 Particle smoothing -- 13 Sequentialquasi-Monte Carlo -- 14 Maximum likelihood estimation of state-space models -- 15 Markov chain Monte Carlo -- 16 Bayesian estimation of state-space models and particle MCMC -- 17 SMC samplers -- 18 SMC2, sequential inference in state-space models -- 19 Advanced topics and open problems

ISBN: 9783030478445 (hbk.) :NT$2531Subjects--Topical Terms:

186286
Monte Carlo method.

LC Class. No.: QA298 / C46 2020

Dewey Class. No.: 518.282

An introduction to Sequential Monte Carlo /
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245 1 3 $a An introduction to Sequential Monte Carlo / $c Nicolas Chopin, Omiros Papaspiliopoulos.
260 $a Cham, Switzerland : $b Springer, $c c2020.
300 $a xxiv, 378 p. : $b ill. ; $c 24 cm.
490 1 $a Springer series in statistics, $x 0172-7397
504 $a Includes bibliographical references and index
505 0 $a 1 Preface -- 2 Introduction to state-space models -- 3 Beyond state-space models -- 4 Introduction to Markov processes -- 5 Feynman-Kac models: definition, properties and recursions -- 6 Finite state-spaces and hidden Markov models -- 7 Linear-Gaussian state-space models -- 8 Importance sampling -- 9 Importance resampling -- 10 Particle filtering -- 11 Convergence and stability of particle filters -- 12 Particle smoothing -- 13 Sequentialquasi-Monte Carlo -- 14 Maximum likelihood estimation of state-space models -- 15 Markov chain Monte Carlo -- 16 Bayesian estimation of state-space models and particle MCMC -- 17 SMC samplers -- 18 SMC2, sequential inference in state-space models -- 19 Advanced topics and open problems
650 0 $a Monte Carlo method. $3 186286
700 1 $a Papaspiliopoulos, Omiros. $3 877642
830 0 $a Springer series in statistics. $3 280826