Bayesian parameter estimation in exponential families

(30 minutes to learn)

Summary

Exponential families are convenient for Bayesian parameter estimation because the conjugate priors often have a convenient form, and there is a simple form for the posterior.

Context

This concept has the prerequisites:

Goals

  • How do you derive the conjugate prior for an exponential family distribution?
  • Show that the posterior can be computed in terms of the sufficient statistics.
  • Work through a simple example, such as the beta-Bernoulli model.

Core resources (read/watch one of the following)

-Paid-

See also

-No Additional Notes-