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CAS MA 589 Computational Statistics Boston University

CAS MA 589 Computational Statistics Boston University

Topics from computational statistics that are relevant to modern statistical applications: random number generation, sampling, Monte Carlo methods, computational inference, MCMC methods, graphical models, data partitioning, and bootstrapping. Emphasis on developing solid conceptual understanding of the methods through applications.

CAS MA 589 Computational Statistics Boston University, CAS MA 589, CAS, CAS MA 589 Entire Course, CAS MA 589 Entire Class, CAS MA 589 Complete Course, CAS MA 589 Complete Class

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CAS MA 589 Computational Statistics Boston University

CAS MA 589 Computational Statistics Boston University

Topics from computational statistics that are relevant to modern statistical applications: random number generation, sampling, Monte Carlo methods, computational inference, MCMC methods, graphical models, data partitioning, and bootstrapping. Emphasis on developing solid conceptual understanding of the methods through applications.

CAS MA 589 Computational Statistics Boston University, CAS MA 589, CAS, CAS MA 589 Entire Course, CAS MA 589 Entire Class, CAS MA 589 Complete Course, CAS MA 589 Complete Class

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