HDS 5305 Advanced Computation
This course is designed to provide students with an introduction to statistical computing. The class will cover the basics of programming: numerical methods for optimization and linear algebra and their application to statistical estimation, generating random variables, bootstrap, jackknife and permutation methods, and Markov Chain Monte Carlo methods. Students will explore theory and practice of computational statistics with emphasis on statistical programming in R.
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