Maximum Entropy Approximations for Asymptotic Distributions of Smooth Functions of Sample Means

DOI10.1111/j.1467-9469.2010.00698.xzbMath1246.62009OpenAlexW1545008016MaRDI QIDQ2911656

Ximing Wu, Suojin Wang

Publication date: 1 September 2012

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9469.2010.00698.x

zbMATH Keywords

asymptotic approximationmaximum entropy densityEdgeworth approximation

Mathematics Subject Classification ID

Cites Work

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• Effects of transformations in higher order asymptotic expansions
• Approximation of density functions by sequences of exponential families
• On the validity of the formal Edgeworth expansion
• Calculation of maximum entropy densities with application to income distribution
• A note on proximity of distributions in terms of coinciding moments.
• Estimation of distributions using orthogonal expansions
• Entropy densities with an application to autoregressive conditional skewness and kurtosis.
• Density Approximation by Summary Statistics: An Information-theoretic Approach
• Information Theory and Statistical Mechanics
• Asymptotic Approximations to Distributions
• Lower Bounds for Divergence in Central Limit Theorem
• Properties of cross-entropy minimization
• Small-sample asymptotic distributions of M-estimators of location
• An Information Theoretic Approach to Approximating a Probability Distribution
• Maximum Entropy for Hypothesis Formulation, Especially for Multidimensional Contingency Tables

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