Twofold universal prediction schemes for achieving the finite-state predictability of a noisy individual binary sequence

DOI10.1109/18.930923zbMath1051.62523OpenAlexW2126860712MaRDI QIDQ4544628

Neri Merhav, Tsachy Weissman, Anelia Somekh-Baruch

Publication date: 4 August 2002

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/62ce6392bec66e3844f4a95d02c350302f2e8767

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20)

Related Items (2)

Universal prediction of random binary sequences in a noisy environment ⋮ Randomized prediction of individual sequences

This page was built for publication: Twofold universal prediction schemes for achieving the finite-state predictability of a noisy individual binary sequence