Fisher Information, Bayesian Statistics, and Jeffrey’s Prior:

What is Bayesian Statistics?

Bayesian statistics is a theory based on the Bayesian interpretation of probability where probability expresses a degree of belief in an event. This degree of belief might be based on prior knowledge of the event or on personal beliefs on the event. These methods use Bayes’ theorem to calculate and renew probabilities after obtaining new data. The theorem describes the conditional probability (probability of one event occurring with some relationship to one or more other events) based on data and prior beliefs or conditions related to the event.

Alumni Liaison

has a message for current ECE438 students.

Sean Hu, ECE PhD 2009