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Robot control / Statistical inference / Statistical theory / Particle filter / Maximum likelihood / Importance sampling / Expectation–maximization algorithm / Resampling / Normal distribution / Statistics / Estimation theory / Monte Carlo methods


Particle Methods for Change Detection, System Identification, and Control CHRISTOPHE ANDRIEU, ARNAUD DOUCET, SUMEETPAL S. SINGH,
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Document Date: 2004-11-02 12:26:30


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File Size: 415,06 KB

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Company

Monte Carlo / /

Country

Jordan / Australia / /

Currency

USD / /

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Facility

Cambridge University / Bristol University / Sheffield University / Melbourne University / /

IndustryTerm

real-world applications / offline and online parameter estimation / offline/online / telecommunications / target tracking applications / change detection algorithm / gradient algorithm / computing / online algorithms / signal processing / finance / elaborate algorithms / offline and online algorithms / /

MusicAlbum

U.K. / /

Organization

Sheffield University / Cambridge University / Melbourne University / Melbourne / Department of Engineering / Department of Automatic Control / Bristol University / Department of Mathematics / Electrical Engineering Department / /

Person

VLADISLAV B. TADIC / CHRISTOPHE ANDRIEU / ARNAUD DOUCET / /

Position

author / Prime Minister / /

ProgrammingLanguage

ML / /

Technology

change detection algorithm / bioinformatics / offline and online algorithms / alternative smoothing algorithms / SMC algorithm / generic SMC algorithm / simulation / EM algorithm / Digital Object Identifier / gradient algorithm / EM-type Algorithms / /

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