\(K\)-nearest neighbor based consistent entropy estimation for hyperspherical distributions
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Publication:657553
DOI10.3390/e13030650zbMath1229.62003OpenAlexW2051750307WikidataQ23921331 ScholiaQ23921331MaRDI QIDQ657553
Shengqiao Li, Michael E. Andrew, Robert M. Mnatsakanov
Publication date: 9 January 2012
Published in: Entropy (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3390/e13030650
Kullback-Leibler divergencedirectional datadifferential entropycross entropyhyperspherical distributionk-nearest neighbor
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Cites Work
- Correction: A class of Rényi information estimators for multidimensional densities
- Nearest neighbor estimates of entropy for multivariate circular distributions
- The generalized von Mises distribution
- \(k_n\)-nearest neighbor estimators of entropy
- Multivariate k-nearest neighbor density estimates
- ESTIMATION OF MULTIVARIATE SHANNON ENTROPY USING MOMENTS
- Best asymptotic normality of the kernel density entropy estimator for smooth densities
- An extension of the von mises distribution
- Divergence Estimation for Multidimensional Densities Via $k$-Nearest-Neighbor Distances
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