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Saturday, June 1, 2019
Stochastic computer simulations enable users to gain new insights into complex physical systems.
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Tuesday, July 17, 2018

In this paper, we provide deterministic non-asymptotic error bounds for fitting a linear model to the observed time-series data, with a particular attention to the role of symmetry and eigenvalue m

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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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Tuesday, April 4, 2017
​​Utilizing the concept of observability, in conjunction with tools from graph theory and optimization, this paper develops an algorithm for network synthesis with privacy guarantees.​
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Wednesday, July 6, 2016
Given a network, we would like to determine which subset of nodes should be measured by limited sensing facilities to maximize information about the entire network.
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