Non-parametric estimation of mutual information through the entropy of the linkage

DOI10.3390/e15125154zbMath1338.62083OpenAlexW2171789771MaRDI QIDQ280732

Roberta Sirovich, Maria Teresa Giraudo, Laura Sacerdote

Publication date: 10 May 2016

Published in: Entropy (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/e15125154

zbMATH Keywords

entropymutual informationkernel methodinformation measuresbinless estimatorcopula functionlinkage function

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Measures of information, entropy (94A17)

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Geometric k-nearest neighbor estimation of entropy and mutual information ⋮ A novel approach of dependence measure for complex signals ⋮ On dynamic mutual information for bivariate lifetimes

Cites Work

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• Coincidences and estimation of entropies of random variables with large cardinalities
• Nonparametric estimation of information-based measures of statistical dispersion
• A class of Rényi information estimators for multidimensional densities
• Numerical solution of stochastic differential equations with jumps in finance
• Sample estimate of the entropy of a random vector
• An introduction to copulas. Properties and applications
• Linkages: A tool for the construction of multivariate distributions with given nonoverlapping multivariate marginals
• Multivariante information transmission
• A computationally efficient estimator for mutual information
• Estimation of conditional densities and sensitivity measures in nonlinear dynamical systems
• Estimation of the information by an adaptive partitioning of the observation space
• Nonparametric Estimation and Symmetry Tests for Conditional Density Functions
• The Shape of Neural Dependence
• Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization
• Mutual information as a measure of multivariate association: analytical properties and statistical estimation