Empirical Maximum Entropy Methods | Zendy

Marian Grendár | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Empirical Maximum Entropy Methods

Author(s) -

Marian Grendár

Publication year - 2006

Publication title -

aip conference proceedings

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.177

H-Index - 75

eISSN - 1551-7616

pISSN - 0094-243X

DOI - 10.1063/1.2423302

Subject(s) - principle of maximum entropy , maximum entropy spectral estimation , maximum entropy probability distribution , entropy (arrow of time) , empirical likelihood , parametric statistics , empirical research , maximum entropy thermodynamics , computer science , mathematics , statistical physics , binary entropy function , statistics , thermodynamics , physics , estimator

A method, which we suggest to call the Empirical Maximum Entropy method, is implic- itly present at Maximum Entropy Empirical Likelihood method, as its special, non-parametric case. From this vantage point the entropy-based empirical approach to estimation is surveyed.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research