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SDS 364 SDS 364. Bayesian Statistics. 3 Hours.

Introduction to the Bayesian approach for statistical inference. Explore prior, posterior, and predictive distributions: conjugate priors; informative and non-informative priors; models for normal, categorical, and count data; Bayesian computation, including MCMC and the Gibbs sampler; hierarchical models; and Bayesian model checking and model selection. The equivalent of three lecture hours a week for one semester. Prerequisite: Statistics and Data Sciences 431 or 321 with a grade of at least C-; Mathematics 340L or 341 or Statistics and Data Sciences 329C with a grade of at least C-; and credit with a grade of at least C- or registration for Statistics and Data Sciences 334.

Bachelor of Science in Biology



...456L , BIO 359R , BIO 364 , BIO 373L , BIO...Sciences 401 or 303 , SDS 324E or 322E...

Bachelor of Science in Environmental Science



...in statistics chosen from SDS 320E and 321...455L , BIO 463L , BIO 364 , BIO 369F , BIO...