Bayesian Estimation
In Bayesian analysis, we assume that the universe follows a parametric model with unknown parameters. In Bayesian analysis, we assign a prior probability distribution to the paraeters. After observing data, we create a new distribution called the posterior distribution. To create this distribution, we use Bayes theorem.