Wednesday, August 2, 2017

The main focus of this work is on the use of PSPO to maximize the pseudo-likelihood of a stochastic epidemiological model to data from a 1861 measles outbreak in Hagelloch, Germany.

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Thursday, July 6, 2017
​Explores relations between​ mean field models for non-Markovian epidemics in networks.​
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Tuesday, May 30, 2017

​We present a universal, data-driven decomposition of chaos as an intermittently forced linear system. ​​

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Wednesday, April 26, 2017
​​​​Epidemics on modern human mobility networks are complex, but we demonstrate that population-level dynamics can be summarized with a parsimonious model based on space-fractional diffusion.​
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Wednesday, April 26, 2017
The method provides a promising new technique for discovering governing equations and physical laws in parameterized spatiotemporal systems. ​
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Tuesday, April 25, 2017

Containing the recent West African outbreak of Ebola virus (EBOV) required the deployment of substantial global resources.

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Thursday, January 19, 2017

​We propose an alternative data-driven method to infer networked nonlinear dynamical systems by using sparsity-promoting optimization to select a subset of nonlinear interactions representing dynam

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Wednesday, January 11, 2017
​In this paper, we develop low-dimensional models for how an SIR disease will spread if it transmits through a sexual contact network and some other transmission mechanism, such as direct contact or v
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Wednesday, January 11, 2017
Using a computational model of the Caenorhabditis elegans connectome dynamics, we show that proprioceptive feedback is necessary for sustained dynamic responses to external input. ​
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Friday, November 25, 2016

SParSE++ is an event-oriented stochastic parameter search algorithm that features various leaping methods and improved interpolation over the existing algorithm SParSE.​

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