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Probability / Hidden Markov model / Markov chain / Conjugate prior / Forward–backward algorithm / Normal distribution / Mixture model / Statistics / Markov models / Probability and statistics


Nonparametric Bayesian Identification of Jump Systems with Sparse Dependencies ⋆ Emily B. Fox ∗ Erik B. Sudderth ∗∗ Michael I. Jordan ∗∗ Alan S. Willsky ∗ ∗
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Document Date: 2012-07-06 10:47:56

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Company

G AG / Discrete-Time Markov Jump Linear Systems / Neural Networks / /

Country

United Kingdom / /

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Facility

University College London / A stable / University of California / /

IndustryTerm

linear hybrid systems / forward-backward algorithm / backprop networks / hybrid systems / hybrid linear time-invariant systems / linear systems / linear dynamic systems / stochastic jumpMarkov linear systems / dynamical systems / /

Organization

University College London / London / University of California / Berkeley / U.S. Securities and Exchange Commission / MIT / /

Person

X. Rong Li / Emily B. Fox / V. Jilkov / Erik B. Sudderth / Ai / Rong Li / Alan S. Willsky / Michael I. Jordan / /

Position

representative / D.J. / /

Product

VAR(r) / VAR / /

ProgrammingLanguage

MATLAB / /

Technology

Machine learning / Simulation / forward-backward algorithm / CAd / /

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