Direct Estimation of Density Functionals Using a Polynomial Basis
Abstract
A number of fundamental quantities in statistical signal processing and information theory can be expressed as integral functions of two probability density functions. Such quantities are called density functionals as they map density functions onto the real line. For example, information divergence functions measure the dissimilarity between two probability density functions and are useful in a number of applications. Typically, estimating...
Paper Details
Title
Direct Estimation of Density Functionals Using a Polynomial Basis
Published Date
Feb 1, 2018
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