Abstract: This paper presents an overview of minimum cross entropy method, which has been used extensively in many areas such as signal/image processing, pattern recognition and statistical inference. In application, we are mainly concerned with the problem of determining probability distributions of the number of divorces by age group measured in 2001 by using minimum cross entropy principle. Minimum cross entropy distributions are found for both husband and wife individuals. Key words:- Kullback-Leibler measure, MinxEnt principle, Model-selection criteria
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Common...
Abstract:- Maximum entropy (MaxEnt) principle is a method for analyzing the available information in...
179 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.This dissertation studies den...
We apply the minimum cross-entropy method (MinXEnt) for estimating rare-event probabilities for the ...
The principle of minimum cross-entropy is an inference procedure for specifying an updated probabili...
The cross-entropy method is an established technique for solving difficult estimation, simulation, a...
The minimum discrimination information principle for the Kullback-Leibler cross-entropy is well know...
ABSTRACT: In the present paper we will establish a fundamental result which has been used in the pri...
Dissertation abstract Title: Cross-entropy based combination of discrete probability distributions f...
Dissertation abstract Title: Cross-entropy based combination of discrete probability distributions f...
Dissertation abstract Title: Cross-entropy based combination of discrete probability distributions f...
Maximum entropy and minimum cross-entropy estimation are applica- ble when faced with ill-posed esti...
Maximum entropy and minimum cross-entropy estimation are applicable when faced with ill-posed estima...
Maximum entropy and minimum cross-entropy estimation are applicable when faced with ill-posed estima...
Abstract: In this paper the evaluation of measurement uncertainty in a multivariate model is carried...
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Common...
Abstract:- Maximum entropy (MaxEnt) principle is a method for analyzing the available information in...
179 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.This dissertation studies den...
We apply the minimum cross-entropy method (MinXEnt) for estimating rare-event probabilities for the ...
The principle of minimum cross-entropy is an inference procedure for specifying an updated probabili...
The cross-entropy method is an established technique for solving difficult estimation, simulation, a...
The minimum discrimination information principle for the Kullback-Leibler cross-entropy is well know...
ABSTRACT: In the present paper we will establish a fundamental result which has been used in the pri...
Dissertation abstract Title: Cross-entropy based combination of discrete probability distributions f...
Dissertation abstract Title: Cross-entropy based combination of discrete probability distributions f...
Dissertation abstract Title: Cross-entropy based combination of discrete probability distributions f...
Maximum entropy and minimum cross-entropy estimation are applica- ble when faced with ill-posed esti...
Maximum entropy and minimum cross-entropy estimation are applicable when faced with ill-posed estima...
Maximum entropy and minimum cross-entropy estimation are applicable when faced with ill-posed estima...
Abstract: In this paper the evaluation of measurement uncertainty in a multivariate model is carried...
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Common...
Abstract:- Maximum entropy (MaxEnt) principle is a method for analyzing the available information in...
179 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.This dissertation studies den...