Constructing a confidence distribution of the parameter before analyzing the new data set. This is called the prior distribution;
Find an appropriate likelihood function for the observed data; and
Modify the prior distribution using the likelihood function to get a revised estimate known as the posterior distribution.
This section starts with some introductory topics:
A quiz on Bayesian inference:
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