The square root law in the embedding detection problem for Markov chains with unknown matrix of transition probabilities

DOI10.1515/DMA-2019-0007zbMath1416.62458OpenAlexW2916278998WikidataQ128382901 ScholiaQ128382901MaRDI QIDQ1741485

Artem V. Volgin

Publication date: 3 May 2019

Published in: Discrete Mathematics and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/dma-2019-0007

zbMATH Keywords

embeddingsMarkov chainstatistical test

Mathematics Subject Classification ID

Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Markov processes: hypothesis testing (62M02)

Cites Work

• Detection of embeddings in binary Markov chains
• Fisher Information Determines Capacity of ε-Secure Steganography
• A parametric model of embedding and its statistical analysis
• Statistical estimation of parameters for binary Markov chain models with embeddings
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: The square root law in the embedding detection problem for Markov chains with unknown matrix of transition probabilities