What is Bayesian modelling?

Bayesian modeling is a statistical approach that uses Bayes' theorem to update the probability of a hypothesis as more evidence becomes available. It is commonly used for prediction, classification, and decision-making under uncertainty. It involves specifying a prior distribution for the parameters of a model and then updating this distribution based on observed data to obtain a posterior distribution. This posterior distribution can then be used to make inferences about the parameters and predictions about future observations.