BAYESIAN AND MODERN STATISTICS

STA 360

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. Not open to students with credit for Statistical Science 601 or 602. Required Instructor: Volfovsky or Steorts

Day / Time: 

F 11:45 AM-01:00 PM

Location: 

Perkins 071

Instructor: 

Volfovsky, Alexander

Section: 

01L