Symmetric distribution properties such as support size, support coverage, entropy, and proximity to uniformity, arise in many applications.
Symmetric distribution properties such as sup- port size, support coverage, entropy, and prox- imity to uniformity, arise in many applications.
Nov 9, 2016 · Abstract:The advent of data science has spurred interest in estimating properties of distributions over large alphabets.
Missing: Discrete | Show results with:Discrete
It is shown that a single, simple, plug-in estimator—profile maximum likelihood (PML)– is sample competitive for all symmetric properties, and in particular ...
Aug 6, 2017 · A unified maximum likelihood approach for estimating symmetric properties of discrete distributions. Authors: Author Picture Jayadev Acharya.
Symmetric distribution properties such as support size, support coverage, entropy, and proximity to uniformity, arise in many applications.
Nov 19, 2016 · We studied estimation of symmetric properties of discrete distributions using the principle of maximum likelihood, and proved optimality of ...
Nov 28, 2016 · We studied estimation of symmetric properties of discrete distributions using the principle of maximum likelihood, and proved optimality of ...
C4.8. [ Abstract ]. Abstract: Symmetric distribution properties such as support size, support coverage, entropy, and proximity ...
A Unified Maximum Likelihood Approach for Optimal Distribution Property Estimation. ... Pattern maximum likelihood estimation of finite-state discrete-time ...