This course will introduce you to the basic ideas of Bayesian Statistics. In Bayesian statistics, population parameters are considered random variables having probability distributions. These probabilities measure “degree of belief”. The rules of probability (Bayes’ theorem) are used to revise our belief, given the observed data.
You will learn how to perform Bayesian analysis for a binomial proportion, a normal mean, the difference between normal means, the difference between proportions, and for a simple linear regression model.
Bayesian methods will be contrasted with the comparable frequentist methods, demonstrating the advantages this approach offers. These include:
 Course Program:
Important Date:
January 30, 2015 to February 27, 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
Pre-requisite:
Biostatisticians, those designing and analyzing clinical trials, social science statisticians, environmental and geophysical scientists; nearly all fields of statistical analysis are amenable to a Bayesian approach.