Bayesian Inference and Modern Statistical Methods

STA 360L

Principles of data analysis and advanced statistical modeling. Bayesian inference, prior and posterior distributions, multi-level models, model checking and selection, stochastic simulation by Markov Chain Monte Carlo. Prerequisite: STA 221 and (STA 230, 231, 240L, or MATH 231) and (MATH 202, 202D, 212, 219, or 222) and (MATH 216, 218, or 221).

Notes

Course has been renumbered to STA 402L.

Prerequisites

Prerequisite: STA 221L and (STA 230, 231, 240L, or MATH 231) and (MATH 202, 202D, 212, 219, or 222) and (MATH 216, 218, or 221)

Curriculum Codes
  • STS
  • QC
  • QS
Typically Offered
Fall and/or Spring