Optimal upper bounds for the divergence of finite-dimensional distributions under a given variational distance
From MaRDI portal
Publication:2190900
DOI10.1134/S0032946019030025zbMath1442.62024OpenAlexW2980652030WikidataQ127030158 ScholiaQ127030158MaRDI QIDQ2190900
Publication date: 23 June 2020
Published in: Problems of Information Transmission (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1134/s0032946019030025
Inequalities; stochastic orderings (60E15) Order statistics; empirical distribution functions (62G30) Probability distributions: general theory (60E05) Statistical aspects of information-theoretic topics (62B10)
Related Items (1)
Cites Work
- Unnamed Item
- On coupling of probability distributions and estimating the divergence through variation
- $f$ -Divergence Inequalities
- Context tree estimation for not necessarily finite memory processes, via BIC and MDL
- A Distribution Dependent Refinement of Pinsker's Inequality
- Refinements of Pinsker's inequality
- Note on discrimination information and variation (Corresp.)
This page was built for publication: Optimal upper bounds for the divergence of finite-dimensional distributions under a given variational distance