COSC 373

Statistical Computing

Duquesne University · UGRD · Fall 2026

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Generating pseudo-random numbers, Monte Carlo integration, simulation, Bayesian inference, Gibbs sampling, Metropolis sampling, Metropolis-Hastings sampling, the E-M algorithm, multivariate Newton-Raphson maximization. Prerequisites: grade of "C" or better in MATH 302W, and one of COSC 160, COSC 161, COSC 170, or COSC 171.

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Class #duquesne-COSC373Fall 2026UGRD3 credits
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