Skip to main navigation
Skip to search
Skip to main content
EdUHK Research Repository Home
About the Repository
Home
Researchers
Research Units
Projects
Research Outputs
Prizes and Awards
KT Activities
Search by expertise, name or affiliation
A maximum entropy approach to recovering information from ranking data
Leung Ho Philip YU
Department of Mathematics and Information Technology (MIT)
Research output
:
Contribution to conference
›
Papers
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A maximum entropy approach to recovering information from ranking data'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Ranking Data
100%
Maximum Entropy Approach
100%
Luce Model
66%
Maximum Entropy Method
66%
Copyright
33%
Nonparametric
33%
Simulation Study
33%
Maximum Likelihood Estimation
33%
Distributional Hypothesis
33%
Maximum Entropy
33%
Motor Car
33%
Statistical Society of Canada
33%
Entropy Maximization
33%
Moment Constraints
33%
ME Method
33%
Entropy Estimates
33%
Conditional Choice Probabilities
33%
Generalized Maximum Entropy
33%
Choice Probability
33%
Mathematics
Maximum Entropy
100%
Probability Theory
66%
Simulation Study
16%
Maximum Likelihood Estimate
16%
Conditionals
16%
Distributional Assumption
16%
Entropy Maximisation
16%