Bayesian Statistical Modeling and Data Analysis
STA 402L
Principles of data analysis and advanced statistical modeling. Bayesian inference, prior and posterior distributions. Linear, multivariate, and multi-level models. Model checking and selection. Stochastic simulation by Markov Chain Monte Carlo.
Prerequisites: Regression (STA 221L) and Statistical Inference (STA 332).
Not open to students with credit for STA 360L, STA 602L, or STA 702L.
Principles of data analysis and advanced statistical modeling. Bayesian inference, prior and posterior distributions. Linear, multivariate, and multi-level models. Model checking and selection. Stochastic simulation by Markov Chain Monte Carlo. Prerequisites: Regression (STA 221L) and Statistical Inference (STA 332). Not open to students with credit for STA 360L, STA 602L, or STA 702L.
Notes
This course was previously numbered STA 360L.
Prerequisites
Prerequisite: STA 221L and 332. Not open to students with credit for STA 360L, STA 602L, or STA 702L.
Curriculum Codes
- QC
- QS