4. Nonlinear Sciences
  5. Chaotic Dynamics

George Hripcsak

Nonlinear Sciences – Chaotic Dynamics

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Estimation of time-delayed mutual information and bias for irregularly and sparsely sampled time-series

Nonlinear Sciences – Chaotic Dynamics
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Population physiology: leveraging population scale (EHR) data to understand human endocrine dynamics

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

Nonlinear Sciences – Chaotic Dynamics
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Profile ID: LFWR-SCP-P-176497

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