Open AccessBook
Maximum-entropy models in science and engineering
TLDR
In this article, the authors discuss the principles, formalism and techniques of Maximum-Entropy Probability Distributions: Principles, Formalism and Techniques, and their application in regional and urban planning, marketing and elections.Abstract:
Partial table of contents: Maximum--Entropy Probability Distributions: Principles, Formalism and Techniques Maximum--Entropy Discrete Univariate Probability Distributions Maximum--Entropy Discrete Multivariate Probability Distributions Maximum--Entropy Continuous Multivariate Probability Distributions Maximum--Entropy Distributions in Statistical Mechanics Minimum Discrepancy Measures Concavity (Convexity) of Maximum--Entropy (Minimum Information) Functions Equivalence of Maximum--Entropy Principle and Gauss's Principle of Density Estimation Maximum--Entropy Principle and Contingency Tables Maximum--Entropy Principle and Statistics Maximum--Entropy Models in Regional and Urban Planning Maximum--Entropy Models in Marketing and Elections Maximum--Entropy Spectral Analysis Maximum--Entropy Image Reconstruction Maximum--Entropy Principle in Operations Research References Author Index Subject Indexread more
Citations
More filters
Journal ArticleDOI
Physics of liquid jets
Jens Eggers,Emmanuel Villermaux +1 more
TL;DR: A review of the fundamental and technological aspects of these subjects can be found in this article, where the focus is mainly on surface tension effects, which result from the cohesive properties of liquids Paradoxically, cohesive forces promote the breakup of jets, widely encountered in nature, technology and basic science.
Book
Statistical Size Distributions in Economics and Actuarial Sciences
Christian Kleiber,Samuel Kotz +1 more
TL;DR: The Statistical Size Distribution in Economics and Actuarial Sciences (SDFIS) as discussed by the authors is a collection of parametric models that deal with income, wealth, and related notions.
Book
Random Matrix Methods for Wireless Communications
TL;DR: This book provides an introduction to random matrix theory and shows how it can be used to tackle a variety of problems in wireless communications, including performance analysis of CDMA, MIMO and multi-cell networks, as well as signal detection and estimation in cognitive radio networks.
Journal ArticleDOI
Minimum cross entropy thresholding
Chun-hung Li,C. K. Lee +1 more
TL;DR: This method provides an unbiased estimate of a binarized version of the image in an information theoretic sense by minimizing the cross entropy between the image and its segmented version.
Journal ArticleDOI
On families of beta- and generalized gamma-generated distributions and associated inference
TL;DR: In this article, the authors define a family of univariate distributions generated by Stacy's generalized gamma variables and propose an expected ratio of quantile densities for the discrimination of members of these two broad families of distributions.