Approximation of Information Divergences for Statistical Learning with Applications

DOI10.1515/ms-2017-0177zbMath1505.62463OpenAlexW2899232023WikidataQ129033991 ScholiaQ129033991MaRDI QIDQ4558044

Jaromír Antoch, Ján Somorčík, Milan Stehlík, Luboš Střelec

Publication date: 27 November 2018

Published in: Mathematica Slovaca (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10533/232510

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Approximations to statistical distributions (nonasymptotic) (62E17)

Cites Work

• Kullback-Leibler life time testing
• Distributions of exact tests in the exponential family
• On the Lambert \(w\) function
• Maximum likelihood estimation for the Erlang integer parameter
• The density of the parameter estimators when the observations are distributed exponentially
• Exact Likelihood Ratio Testing for Homogeneity of the Exponential Distribution
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