Description
An introduction to the basic ideas of Bayesian statistics. In Bayesian statistics, population parameters are considered random variables having probability distributions. You will learn to use Bayes' rule to transform prior probabilities into posterior probabilities using the observed data. You will be introduced to the basic Bayesian concepts and computational techniques. We will also compare and contract the Bayesian methods with comparible classical (frequentist) techniques. The course emphasizes data analysis through practical applications us