Title: Bayes Theory [Lecture 1/3]
Speaker: Aaron Robotham, ICRAR (aaron.robotham AT uwa.edu.au)
Date: 1pm (AEDT) Wednesday 9th October 2013
Abstract: For those who don’t know, R is a very powerful statistical programming language. This lecture will be the second in a series of four, which together will build a full Bayesian framework with applications to astronomy using R. In this lecture we investigate the basic foundations of Bayes Theory, with emphasis on worked practical examples. The lecture concludes with two famous statistical problems, which the attentive student should be able to tackle with their new Bayesian toolkit.
Additional Material: The talk slides are available for download here.