| |
Dec 07, 2025
|
|
|
|
|
STAT 907 - Bayesian Statistical InferenceCredits: (3)
Principles of Bayesian inference. Methods of Bayesian data analysis with applications in the sciences. Hierarchical and non-hierarchical models, including linear and generalized linear models. Model checking, Model selection, Model comparison. Bayesian computation including Markov Chain Monte Carlo algorithms. Applications in the sciences utilizing computer software.
Requisites:
Prerequisite: STAT 720 and 771, plus one introductory course in statistical computing (e.g. STAT 725 or 726 or equivalent background).
When Offered:
Fall, odd years
Add to Portfolio (opens a new window)
|
|
