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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
Undergraduate
http://catalog.utexas.edu/undergraduate/natural-sciences/degrees-and-programs/bs-biology/
...438L , 471G , 456L , 359R , 364 , 373L , 374 and...Sciences 401 or 303 , SDS 324E or 322E...
Bachelor of Science in Environmental Science
Undergraduate
...in statistics chosen from SDS 320E and 321...453L , 354L , 455L , 463L , 364 , 369F , 369L , 471G...