DocumentCode
2300381
Title
The Catch-Up Phenomenon
Author
Grünwald, Peter ; De Rooij, Steven ; van Erven, Tim
Author_Institution
Centrum voor Wiskunde en Inf., Amsterdam
fYear
2008
fDate
5-9 May 2008
Firstpage
259
Lastpage
260
Abstract
We consider inference based on a countable set of models (sets of probability distributions), focusing on two tasks: model selection and model averaging. In model selection tasks, the goal is to select the model that best explains the given data. In model averaging, the goal is to find the weighted combination of models that leads to the best prediction of future data from the same source.
Keywords
inference mechanisms; modelling; statistical distributions; catch-up phenomenon; countable set; data prediction; inference; model averaging; model selection task; probability distribution; Bayesian methods; Books; Convergence; Predictive models; Probability distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Workshop, 2008. ITW '08. IEEE
Conference_Location
Porto
Print_ISBN
978-1-4244-2269-2
Electronic_ISBN
978-1-4244-2271-5
Type
conf
DOI
10.1109/ITW.2008.4578662
Filename
4578662
Link To Document