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MATH 680 Computation Intensive Statistics (4 credits)

Note: This is the 2020–2021 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .

Offered by: Mathematics and Statistics (Faculty of Science)

Administered by: Graduate Studies

Overview

Mathematics & Statistics (Sci) : General introduction to computational methods in statistics; optimization methods; EM algorithm; random number generation and simulations; bootstrap, jackknife, cross-validation, resampling and permutation; Monte Carlo methods: Markov chain Monte Carlo and sequential Monte Carlo; computation in the R language.

Terms: Fall 2020

Instructors: Yang, Yi (Fall)

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