This course will introduce Bayesian methods for interpreting and analyzing large data sets from astrophysical experiments. These methods will be demonstrated using astrophysics real-world data sets and a focus on modern statistical software, such as R and python.
Prerequisites: MATH 2263 and MATH 2243, or equivalent; or instructor consent
Suggested: statistical course at the level of AST 4031, AST 5031, STAT 3021, or STAT 5021
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