Nonparametric density estimation by switching
published: Aug. 12, 2008, recorded: July 2008, views: 3321
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
According to standard MDL and Bayesian model selection, we should (roughly) prefer the model that minimises overall prediction error. But if the goal is to predict well, it may well depend on the sample size which model is most useful to predict the next outcome. By re-interpreting the Bayesian prediction strategies associated with the models as "experts", we can use the various algorithms for "expert tracking" to improve model selection for prediction without introducing a substantial computational overhead.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !