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Caroline Uhler - Department of Electrical Engineering and Computer Science & Institute for Data, Systems and Society, Massachusetts Institute of Technology
Jan 22, 2019 - 12:45pm to 1:45pm
Department of Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
A recent break-through in genomics makes it possible to perform perturbation experiments at a very large scale. The availability of such data motivates the development of a causal inference framework that is based on observational and interventional data. We first characterize the causal... read more
Tue.
1/22/19
William Schwartz - Department of Applied Mathematics, Illinois Institute of Technology
Jan 15, 2019 - 12:45pm to 1:45pm
Department of Applied Mathematics - Seminar - Rettaliata Engineering Center 102
In this talk I introduce a generic, statistical model of longitudinal/panel network data analyzable with existing tools for popular, single-observation network models. The existing network models have been used since the 1980s to describe social networks of a fixed set of people whose friendships... read more
Tue.
1/15/19
Oana Marin - Argonne National Laboratory
Jan 14, 2019 - 1:50pm to 2:55pm
Department of Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
Fluid phenomena dominated by viscous effects can be modeled by the Stokes equations. The boundary integral form of the Stokes equations reduces the number of degrees of freedom in a numerical discretization by reformulating the three-dimensional problem to two-dimensional integral equations over... read more
Mon.
1/14/19

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