Bayesian Inference
ABOUT
Bayesian inference is an important method in statistics, and especially in mathematical statistics. It is based on Bayes' theorem which is named after the statistician Thomas Bayes. This method is used to capture the probability of a hypothesis as more evidence or information becomes available.
Bayesian inference has found application in a wide range of activities, including science, engineering, philosophy, medicine, sport, and law. In the philosophy of decision theory, Bayesian inference is closely related to subjective probability, often called "Bayesian probability".
RESOURCES
https://plato.stanford.edu/entries/bayes-theorem
Colin Howson & Peter Urbach (2005). Scientific Reasoning: The Bayesian Approach (3rd ed.). Open Court Publishing Company
Dennis V. Lindley (2013). Understanding Uncertainty, Revised Edition (2nd ed.). John Wiley
Bolstad, William M. (2007) Introduction to Bayesian Statistics: Second Edition, John Wiley
