Mixability in Statistical Learning
Date
2012
Authors
van Erven, Tim
Grunwald, Peter
Reid, Mark
Williamson, Robert
Journal Title
Journal ISSN
Volume Title
Publisher
Neural Information Processing Systems Foundation
Abstract
Statistical learning and sequential prediction are two different but related formalisms to study the quality of predictions. Mapping out their relations and transferring ideas is an active area of investigation. We provide another piece of the puzzle by s
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Keywords
Keywords: Active area; Bayesian inference; Convergence theorem; Fast rate; Minimum description length; Quality of predictions; Sequential prediction; Statistical learning; Bayesian networks; Inference engines; Stochastic systems; Forecasting
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Source
NEURAL INFORMATION PROCESSING SYSTEMS. Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012
Type
Conference paper
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Access Statement
Open Access
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Restricted until
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