Enhancement of prediction algorithms by betting
Vladimir Vovk
TL;DR
This paper introduces a betting-based method to improve probabilistic prediction algorithms, inspired by conformal test martingales, aiming to enhance their predictive accuracy and reliability.
Contribution
It presents a novel procedure leveraging betting strategies to enhance probabilistic predictions, inspired by recent developments in conformal test martingales.
Findings
Improved prediction quality through betting methods
Enhanced reliability of probabilistic algorithms
Potential applications in conformal testing
Abstract
This note proposes a procedure for enhancing the quality of probabilistic prediction algorithms via betting against their predictions. It is inspired by the success of the conformal test martingales that have been developed recently.
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Taxonomy
TopicsAdvanced Statistical Process Monitoring · Advanced Statistical Methods and Models · Forecasting Techniques and Applications