An Information Theoretic Approach to Approximating a Probability Distribution

DOI10.1137/0132027zbMath0368.60021OpenAlexW2077521035MaRDI QIDQ4144497

Bradford R. Crain

Publication date: 1977

Published in: SIAM Journal on Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/0132027

Mathematics Subject Classification ID

Probability distributions: general theory (60E05)

Related Items (7)

Fourier-Legendre approximation of a probability density from discrete data ⋮ Maximum Entropy Approximations for Asymptotic Distributions of Smooth Functions of Sample Means ⋮ Fast adaptive estimation of log-additive exponential models in Kullback-Leibler divergence ⋮ Log-density estimation in linear inverse problems ⋮ Goodness of fit tests via exponential series density estimation ⋮ Post-Model-Selection Method for Density Estimation ⋮ On the recovery of joint distributions from limited information

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