In recent years, Bayesian statistics has been attracting attention in various fields such as economics, finance, medicine, psychology, and marketing.
In this lecture, starting from the basics of classical statistics, I will explain Bayes' theorem, Bayesian inference, Markov chain Monte Carlo method, model selection in Bayesian statistics, applications of Bayesian estimation to normal distribution models and regression analysis models, and hierarchical Bayesian models to handle individual differences. The lecture will be given in Python.
Exercises using Python will be included in the lecture.