Bayesian Regression Modeling via MCMC Techniques – Statistics.Com

In this online course, students will learn how to apply Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using WinBUGS and R software.

Topics covered include Gibbs sampling and the Metropolis-Hastings method. Participants will also learn how to implement linear regression (normal and t errors), poisson and loglinear regression, and binary/binomial regression using WinBUGS.

Course Program:

• Week 1: Using Markov Chain Monte Carlo
• Week 2: Sampling From Priors
• Week 3: Linear Regression Modeling in WinBUGS
• Week 4: General Linear Modeling in WinBUGS

Important Date:

April 24, 2015 to May 22, 2015

Duration:

4 Weeks

Time Requirement:

About 15 hours per week, at times of  your choosing.

Fees:

INR 37,740 (assuming $ = INR 60)

Part Time/Full Time:

Part Time

Statisticians and analysts who need to build statistical models of data.

• R
• WinBUGS

• Dr. Peter Congdon