Results 11 to 20 of about 10,752 (214)
Kullback Leibler divergence in complete bacterial and phage genomes [PDF]
PeerJ, 2017 The amino acid content of the proteins encoded by a genome may predict the coding potential of that genome and may reflect lifestyle restrictions of the organism.
Sajia Akhter +5 more
doaj +3 more sources
Local inconsistency detection using the Kullback–Leibler divergence measure [PDF]
Systematic ReviewsBackground The standard approach to local inconsistency assessment typically relies on testing the conflict between the direct and indirect evidence in selected treatment comparisons.
Loukia M. Spineli
doaj +2 more sources
Kullback–Leibler Divergence Measure for Multivariate Skew-Normal Distributions
Entropy, 2012 The aim of this work is to provide the tools to compute the well-known Kullback–Leibler divergence measure for the flexible family of multivariate skew-normal distributions.
Javier E Contreras-Reyes +2 more
exaly +3 more sources
Kullback-Leibler Divergence and Mutual Information of Experiments in the Fuzzy Case
Axioms, 2017 The main aim of this contribution is to define the notions of Kullback-Leibler divergence and conditional mutual information in fuzzy probability spaces and to derive the basic properties of the suggested measures.
Markechová Dagmar, Dagmar Markechová
exaly +3 more sources
Some Order Preserving Inequalities for Cross Entropy and Kullback–Leibler Divergence [PDF]
Entropy, 2018 Cross entropy and Kullback⁻Leibler (K-L) divergence are fundamental quantities of information theory, and they are widely used in many fields. Since cross entropy is the negated logarithm of likelihood, minimizing cross entropy is equivalent to ...
Mateu Sbert +3 more
doaj +2 more sources
Distributed Vector Quantization Based on Kullback-Leibler Divergence
Entropy, 2015 The goal of vector quantization is to use a few reproduction vectors to represent original vectors/data while maintaining the necessary fidelity of the data.
Pengcheng Shen +2 more
exaly +3 more sources
Kullback-Leibler divergence and the Pareto-Exponential approximation. [PDF]
Springerplus, 2016 Recent radar research interests in the Pareto distribution as a model for X-band maritime surveillance radar clutter returns have resulted in analysis of the asymptotic behaviour of this clutter model. In particular, it is of interest to understand when the Pareto distribution is well approximated by an Exponential distribution.
Weinberg GV.
europepmc +4 more sources
Generalization of the Kullback–Leibler divergence in the Tsallis statistics
Journal of Mathematical Analysis and Applications, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liu Hong, Juntao Huang, Wen-An Yong
exaly +3 more sources
Bounds for Kullback-Leibler divergence
Electronic Journal of Differential Equations, 2016 Entropy, conditional entropy and mutual information for discrete-valued random variables play important roles in the information theory. The purpose of this paper is to present new bounds for relative entropy $D(p||q)$ of two probability distributions
Pantelimon G. Popescu +3 more
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A Kullback-Leibler Divergence for Bayesian Model Diagnostics. [PDF]
Open J Stat, 2011 This paper considers a Kullback-Leibler distance (KLD) which is asymptotically equivalent to the KLD by Goutis and Robert [1] when the reference model (in comparison to a competing fitted model) is correctly specified and that certain regularity conditions hold true (ref. Akaike [2]).
Wang CP, Ghosh M.
europepmc +4 more sources