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Upcoming Events

Gordan Zitkovic - Department of Mathematics, University of Texas at Austin
Oct 22, 2018 - 1:50pm to 2:55pm
Department of Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
TBA
Mon.
Oct 22
Maxim Bichuch - Department of Applied Mathematics and Statistics, Johns Hopkins University
Oct 29, 2018 - 1:50pm to 2:55pm
Department of Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
TBA
Mon.
Oct 29
Per Mykland - Department of Statistics, University of Chicago
Nov 5, 2018 - 1:50pm to 2:55pm
Department of Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
TBA
Mon.
Nov 5

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Event Archive

Chenghua Duan - School of Electronic, Electrical and Communication Engineering, Chinese Academy of Sciences
Apr 19, 2018 - 12:50pm to 1:50pm
Department of Applied Mathematics - Seminar - Rettaliata Engineering Center, Room 119
We study the numerical methods for porous media equation (PME). There are two characteristics: the finite speed of propagation of the free boundary and the potential waiting time, which make the problem not easy to handle. Based on different dissipative energy laws, we develop two numerical schemes... read more
Thu.
4/19/18
Sonja Petrovic - Department of Applied Mathematics, Illinois Institute of Technology
Apr 18, 2018 - 1:50pm to 2:50pm
Department of Applied Mathematics - Seminar - Rettaliata Engineering Center, Room 122
This set of lectures covers some of the basics of how algebraic statistics is used for network modeling. We will start by introducing some basic concepts and relevant background. Topics include the following: A statistics primer: introduction to hypothesis test for goodness of fit testing.... read more
Wed.
4/18/18
José E. Figueroa-López - Department of Mathematics, Washington University in St. Louis
Apr 16, 2018 - 1:50pm to 2:55pm
Department of Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
In this talk, we are concerned with the average values of certain functionals of the path of a stochastic process during a given time period. High-order asymptotic characterizations of such values when the time period shrinks to \(0\) have a wide range of applications. In statistics, they are... read more
Mon.
4/16/18

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