Speaker
Mr
Michiel De kock
(University of Stellenbosch)
Description
Given a histogram of measurements, we compare the chi-squared goodness-of-fit test and the Kullback-Leibler divergence of different models. We then apply these methods for parameter estimation and relate them to the principle of Maximum Likelihood. These non-Bayesian approaches are finally viewed in the
light of a Bayesian solution.
Primary author
Mr
Michiel De kock
(University of Stellenbosch)
