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  1. Constructing a confidence distribution of the parameter before analyzing the new data set. This is called the prior distribution;

  2. Find an appropriate likelihood function for the observed data; and

  3. Modify the prior distribution using the likelihood function to get a revised estimate known as the posterior distribution.


Gliffy Diagram
nameBayes. Inference

This section starts with some introductory topics:


A quiz on Bayesian inference: 

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quizA Quiz on the Bayesian Inference
author-full-nameElnaz Beirami




Gliffy Diagram
nameBayesian Inference Options