Jan 17, 2020  
2018-2019 Augusta University Catalog 
    
2018-2019 Augusta University Catalog [ARCHIVED CATALOG]

STAT 9240 - Bayesian Inference



This course introduces Bayesian methods for statistical inferences. We will look over concepts of Bayesian theories and Bayesian coomputational tools. Mainly we will follow up Markov chain Monte Carlo (MCMC) sampling methods including independent samplings (rejection sampling, importance sampling) and dependent samplings (Metropolis-Hastings, Gibbs sampling, slice sampling, and sequential Monte Carlo methods). These MCMC methods can be utilized in the final project.

Credit Hours: 3
Lecture Hours: 3

Grade Mode: Normal, Audit
Prerequisites: STAT8620
Repeat Status: No
Schedule Type: Lecture


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