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:
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.