In this part of the website, we show how to use the Bayesian approach when the data comes from a population with a normal distribution. Since the normal distribution is defined by two parameters, the mean and variance, we show how to handle three cases: (1) mean unknown and variance known, (2) variance unknown and mean known, and (3) mean and variance are unknown.
Topics
- Conjugate Priors
- Monte Carlo Simulation
- Gibbs Sampler
- Other (to be constructed)
Reference
Walsh, B. (2002) Introduction to Bayesian Analysis
http://staff.ustc.edu.cn/~jbs/Bayesian%20(1).pdf