In statistics there are two main schools of thought regarding statistical inference: Bayesian and frequentist. For a more thorough discussion of the differences between these approaches, take a look here. All of the methods we have shown so far in the Stats Toolbox Seminar series use a frequentist approach for making inferences. In this seminar, Allan Clark shows us how to use a Bayesian approach for doing statistical analyses. He first provides a simple linear regression example and then moves onto a more complicated occupancy model example.
The associated scripts and data for these examples are provided here.