Particle filtering for partially observed Gaussian state space models

Particle filtering for partially observed Gaussian state space models

Solving Bayesian estimation problems where the posterior distribution evolves over time through the accumulation of data has many applications for dynamic models. A large number of algorithms based on particle filtering methods, also known as sequential Monte Carlo algorithms, have recently been pro...

書目詳細資料
Main Authors:	Andrieu, C, Doucet, A
格式:	Journal article
語言:	English
出版:	2002

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