Selection rules based on divergences

DOI10.1080/02331880903573385zbMath1229.62035OpenAlexW2040286222MaRDI QIDQ3106401

Igor Vajda, Alain F. Berlinet

Publication date: 21 December 2011

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331880903573385

zbMATH Keywords

nonparametric estimationdivergence error criteriaoptimal and suboptimal selectionsScheffé selection

Mathematics Subject Classification ID

Density estimation (62G07) Nonparametric estimation (62G05) Statistical aspects of information-theoretic topics (62B10)

Related Items (2)

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Cites Work

• Unnamed Item
• Bin width selection in multivariate histograms by the combinatorial method
• A new class of metric divergences on probability spaces and its applicability in statistics
• On the f-divergence and singularity of probability measures
• Optimal \(L_{1}\) bandwidth selection for variable kernel density estimates
• On Divergences and Informations in Statistics and Information Theory
• Parameter selection in modified histogram estimates

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