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MATH 452 - Statistical Computing

Introduction to computational statistics; Monte Carlo methods, bootstrap, data partitioning methods, EM algorithm, probability density estimation, Markov Chain Monte Carlo methods.
Prerequisites: MATH 450B

Credit Hours: 4
Repeat/Retake Information: May be retaken three times excluding withdrawals, but only last course taken counts.
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