Minimum entropy of error principle in estimation

DOI10.1016/0020-0255(94)90043-4zbMath0805.62010OpenAlexW2068708092MaRDI QIDQ1331031

Timo Koski, Antonin Otáhal, Martin Janžura

Publication date: 17 August 1994

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0020-0255(94)90043-4

zbMATH Keywords

continuityentropy lower boundfinite mixturesminimum error entropy estimationsymmetric unimodal densities

Mathematics Subject Classification ID

Measures of information, entropy (94A17) Information theory (general) (94A15) Statistical aspects of information-theoretic topics (62B10)

Related Items (6)

A note on the W-S lower bound of the MEE estimation ⋮ Some further results on the minimum error entropy estimation ⋮ On the smoothed minimum error entropy criterion ⋮ A new interpretation on the MMSE as a robust MEE criterion ⋮ On optimal estimations with minimum error entropy criterion ⋮ \(\Delta \)-entropy: definition, properties and applications in system identification with quantized data

Cites Work

• Some properties of generalized exponential entropies with applications to data compression
• Continuity and characterization of Shannon-Wiener information measure for continuous probability distributions
• An application of the information theory to estimation problems
• Information and distortion in reduced-order filter design
• Theoretical limitations on the transmission of data from analog sources
• Exponential entropy as a measure of extent of a distribution
• Entropy analysis of estimating systems
• Entropy analysis of parameter estimation
• Characterization of entropy of probability distributions on the real line
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