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Krichevsky–Trofimov estimator

Known as: Krichevsky-Trofimov estimator 
In information theory, given an unknown stationary source π with alphabet A and a sample w from π, the Krichevsky–Trofimov (KT) estimator produces an… 
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Papers overview

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2020
2020
Sequential probability assignment and universal compression go hand in hand. We propose sequential probability assignment for non… 
2018
2018
We study the problem of compressing piecewise i.i.d. sources, which models the practical application of jointly compressing… 
2017
2017
Kosmologische Beobachtungen auf allen Grosenskalen des Universums haben gezeigt, dass 86 % der gesamten Masse im Universum aus… 
2013
2013
We consider nonparametric or universal sequential hypothesis testing problem when the distribution under the null hypothesis is… 
2012
2012
We consider nonparametric sequential hypothesis testing when the distribution under null hypothesis is fully known and the… 
2006
2006
The Bayesian information criterion (BIC) and Krichevsky- Trofimov (KT) version of minimum description length (MDL) principle are… 
2005
2005
A zero-redundancy estimator is defined by a weighted sum of Krichevsky-Trofimov (KT) sequential probability estimators i.e., the… 
2005
2005
Prediction of actual symbol probability is crucial for statistical data compression that uses arithmetic coder. Krichevsky… 
2005
2005
The symbol decomposition algorithm is proposed by Willems et. al. as an efficient and practical symbol predictor applicable for…