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Markov models / Statistical theory / Bioinformatics / Hidden Markov model / Bayesian inference / Hidden semi-Markov model / Gibbs sampling / Graphical model / Non-parametric statistics / Statistics / Bayesian statistics / Statistical inference


Bayesian Time Series Models and Scalable Inference by Matthew James Johnson B.S. Electrical Engineering and Computer Sciences, UC Berkeley, 2008 S.M. Electrical Engineering and Computer Science, MIT, 2010
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Document Date: 2014-06-19 14:35:03


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File Size: 4,47 MB

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Computer Sciences / /

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Man-Made Disaster / /

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Massachusetts Institute of Technology June / Massachusetts Institute of Technology All Rights Reserved / /

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inference algorithm / mean field algorithms / inference algorithms / /

Organization

Institute of Technology All Rights Reserved / Massachusetts Institute of Technology / CONTENTS Chapter / Department of Electrical Engineering and Computer Science / MIT / Department Committee on Graduate Students / UC Berkeley / /

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Alan S. Willsky Edwin Sibley / Matthew James Johnson / /

Position

Professor of Electrical Engineering and Computer Science Chair / Professor of Electrical Engineering and Computer Science Thesis Supervisor / Professor of Electrical Engineering / /

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Massachusetts / /

Technology

2014 Massachusetts Institute of Technology / Inference Algorithms / 2.3 Bayesian inference algorithms / sampling inference algorithm / Gibbs sampling inference algorithm / mean field algorithms / /

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