From patterned response dependency to structured covariate dependency: Entropy based categorical-pattern-matching.
Data generated from a system of interest typically consists of measurements on many covariate features and possibly multiple response features across all subjects in a designated ensemble. Such data is naturally represented by one response-matrix against one covariate-matrix. A matrix lattice is an...
Main Authors: | Hsieh Fushing, Shan-Yu Liu, Yin-Chen Hsieh, Brenda McCowan |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2018-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC6006982?pdf=render |
Similar Items
-
Joint modeling of multiple social networks to elucidate primate social dynamics: I. maximum entropy principle and network-based interactions.
by: Stephanie Chan, et al.
Published: (2013-01-01) -
Learned Practical Guidelines for Evaluating Conditional Entropy and Mutual Information in Discovering Major Factors of Response-vs.-Covariate Dynamics
by: Ting-Li Chen, et al.
Published: (2022-09-01) -
Systemic testing on Bradley-Terry model against nonlinear ranking hierarchy.
by: Aaron Shev, et al.
Published: (2014-01-01) -
Ranking network of a captive rhesus macaque society: a sophisticated corporative kingdom.
by: Hsieh Fushing, et al.
Published: (2011-03-01) -
Multi-scale clustering by building a robust and self correcting ultrametric topology on data points.
by: Hsieh Fushing, et al.
Published: (2013-01-01)