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Bayesian Regression Modeling via MCMC Techniques – Statistics.Com

0-6 Month Online
Advanced 24-Apr-2015
Online Business Analytics
Online Self Paced 2370
DescriptionProgram StructureEligibilityToolsFacultyContact

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


4 Weeks

Time Requirement:

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


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
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