The world of statistics and data analysis is teeming with models designed to make sense of complex phenomena. Bayesian Model
Selection, a powerful paradigm in statistical modeling, offers a principled approach to choosing the most appropriate model among
a set of alternatives. In this introductory talk, we will embark on a journey into the introduction of Bayesian Model Selection, exploring
its key concepts and principles. We will delve into the foundational notions of Bayes theorem and model comparison using simple examples. If you’re a seasoned a curious beginner, this presentation
will provide valuable insights into the art and science of selecting the right model for your data analysis needs.