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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.
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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.
- 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
April 24, 2015 to May 22, 2015
About 15 hours per week, at times of your choosing.
INR 37,740 (assuming $ = INR 60)
Part Time/Full Time:
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Statisticians and analysts who need to build statistical models of data.
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[su_tab title = “Faculty”]
- Dr. Peter Congdon
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