Using time-delayed mutual information to discover and interpret temporal correlation structure in complex populations

DOI10.1063/1.3675621zbMath1332.62306arXiv1110.4102OpenAlexW3100271177WikidataQ41037331 ScholiaQ41037331MaRDI QIDQ2787706

George Hripcsak, David J. Albers

Publication date: 4 March 2016

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1110.4102

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Measures of information, entropy (94A17)

Cites Work

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• Generic hyperbolicity in the logistic family
• Absolutely continuous invariant measures for one-parameter families of one-dimensional maps
• Estimating the errors on measured entropy and mutual information
• A statistical dynamics approach to the study of human health data: Resolving population scale diurnal variation in laboratory data
• Nonlinear Time Series Analysis

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