Fundamentals of Bayesian inference, single and multiparameter models, hierarchical models, regression models, generalized linear models, advanced computational methods, Markov chain Monte Carlo.
This course may not be repeated for credit.
Notes
- Statistics 421 is recommended
Prerequisite(s)
- Mathematics 323 or consent of the Division
SyllabusSections
This course will be offered next in
Winter 2014.