STAT459-12S1 (C)
Semester One 2012
Advanced Computational Statistics
Description
Advanced Computational Statistics
Computational and theoretical aspects of modern randomized algorithms will be covered. Such algorithms include Markov chains on graphs, Glauber dynamics, Markov random fields, Gibbs sampler, simulated annealing, interacting genealogical particle systems, etc. for statistical estimating, testing and learning. Students and researchers in physics and biology as well as operations research and engineering will find it accessible and relevant.
For a full list of 2012 Honours courses, please refer to the Department of Mathematics and Statistics Honours Booklet Mathematics and Statistics Honours Booklet
Subject to approval of the Head of Department.
For further information see
Mathematics and Statistics.
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