*****COURSES ARE SUBJECT TO CHANGE*****
Includes probabilistic and statistical analysis of random processes, continuous-time Markov chains, hidden Markov models, point processes, Markov random fields, spatial and spatio-temporal processes, and statistical modeling and inference in stochastic processes. Applications to a variety of fields. Prerequisite(s): course 205A, 205B, or 261, or by permission of instructor.
5 Credits
Year | Fall | Winter | Spring | Summer |
2018-19 |
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2016-17 |
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2014-15 |
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2011-12 |
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2009-10 |
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2007-08 |
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2005-06 |
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