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Fall 2017
Sep 24, 2017
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MATH 680 - Computation Intensive Statistics.
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.

Prerequisites: MATH 556, MATH 557 or permission of instructor

4.000 Credit hours

Schedule Types: Lecture

Graduate Studies
Mathematics and Statistics Department

Restrictions:
May not be enrolled in one of the following Levels:     
      Undergraduate
May not be enrolled in one of the following Faculties:     
      Faculty of Dentistry
      Faculty of Medicine
      School of Continuing Studies

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