Universal codes from switching strategies

Koolen, Wouter M. & de Rooij, Steven (2013) Universal codes from switching strategies. IEEE Transactions on Information Theory, 59(11), pp. 7168-7185.


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We discuss algorithms for combining sequential prediction strategies, a task which can be viewed as a natural generalisation of the concept of universal coding. We describe a graphical language based on Hidden Markov Models for defining prediction strategies, and we provide both existing and new models as examples. The models include efficient, parameterless models for switching between the input strategies over time, including a model for the case where switches tend to occur in clusters, and finally a new model for the scenario where the prediction strategies have a known relationship, and where jumps are typically between strongly related ones. This last model is relevant for coding time series data where parameter drift is expected. As theoretical contributions we introduce an interpolation construction that is useful in the development and analysis of new algorithms, and we establish a new sophisticated lemma for analysing the individual sequence regret of parameterised models.

Impact and interest:

3 citations in Scopus
2 citations in Web of Science®
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ID Code: 73147
Item Type: Journal Article
Refereed: Yes
DOI: 10.1109/TIT.2013.2273353
ISSN: 0018-9448
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 IEEE
Copyright Statement: Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Deposited On: 30 Jun 2014 23:09
Last Modified: 21 Jun 2017 19:01

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