52 citations · 205 across the 21 of their papers we have counts for
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nlin.CD2011★ 45 cited
Using time-delayed mutual information to discover and interpret temporal correlation structure in complex populations
D. J. Albers, George Hripcsak
This paper addresses how to calculate and interpret the time-delayed mutual information for a complex, diversely and sparsely measured, possibly non-stationary population of time-s…
q-bio.QM2011★ 25 cited
Population physiology: leveraging population scale (EHR) data to understand human endocrine dynamics
DJ Albers, George Hripcsak, Michael Schmidt
Studying physiology over a broad population for long periods of time is difficult primarily because collecting human physiologic data is intrusive, dangerous, and expensive. Electr…
nlin.CD2011★ 46 cited
Estimation of time-delayed mutual information and bias for irregularly and sparsely sampled time-series
DJ Albers, George Hripcsak
A method to estimate the time-dependent correlation via an empirical bias estimate of the time-delayed mutual information for a time-series is proposed. In particular, the bias of…