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Algebraic Statistics Seminar

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Algebraic Statistics Seminar Archive

Mateja Raic - Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago
Nov 6, 2018 - 10:00am to 11:00am
College of Science, Applied Mathematics - Seminar - Rettaliata Engineering Center, Room 102
We study networks from a point of view of exponential random graph models. This flexible and versatile statistical family comes equipped with tools to perform inferential statistics, however the standard toolbox assumes large sample sizes and the use of asymptotic theory. In networks, this... read more
Tue.
Nov 6
Christopher O'Neill - Department of Mathematics, University of California at Davis
Apr 26, 2018 - 1:50pm to 3:00pm
College of Science, Applied Mathematics - Seminar - Rettaliata Engineering Center, Room 119
An affine semigroup \(S\) is a subset of \(\mathbb Z_{\geq 0}^k\) that is closed under vector addition, and a factorization of \(a\in S\) is an expression of \(a\) as a sum of generators of \(S\). The delta set of \(a\) is a set of positive integers determined by the ``missing factorization lengths... read more
Thu.
Apr 26
Sonja Petrovic - Department of Applied Mathematics, Illinois Institute of Technology
Apr 25, 2018 - 12:50pm to 1:50pm
College of Science, 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. Topics of this lecture include the following: Exponential random graph models. Log-linear models. Sufficient statistics. Example of a small network. Markov bases for conditional tests. 
Wed.
Apr 25
Sonja Petrovic - Department of Applied Mathematics, Illinois Institute of Technology
Apr 18, 2018 - 1:50pm to 2:50pm
College of Science, 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.
Apr 18
May 8, 2017 (All day) to May 11, 2017 (All day)
College of Science, Applied Mathematics - Workshop - TBD
The workshop, organized by Alessandro Rinaldo (Carnegie Mellon statistics) and Sonja Petrovic, will honor the legacy that Stephen E. Fienberg left on the field of algebraic statistics for networks. Participation is by invitation.
Mon.
May 8
Annie Raymond, Acting Assistant Professor - Department of Mathematics, University of Washington
Sep 15, 2016 - 2:00pm to 3:00pm
College of Science, Applied Mathematics - Seminar - Rettaliata Engineering, Room 242
The speaker considers the problem of finding sum of squares (sos) expressions to establish the non-negativity of a symmetric polynomial over a discrete hypercube whose coordinates are indexed by k-element subsets of [n]. The speaker develops a variant of the Gatermann-Parrilo symmetry-reduction... read more
Thu.
Sep 15
Sonja Petrovic, Assistant Professor - Department of Applied Mathematics, Illinois Institute of Technology
Sep 6, 2016 - 2:00pm to 3:00pm
Applied Mathematics - Seminar - Rettaliata Engineering, room 242
This talk will discuss the recent comment, written jointly with Vishesh Karwa, on the paper with the same title by Ji and Jin. Ji and Jin collected, cleaned and summarized in various ways citation and coauthorship networks for statisticians. They performed several descriptive analyses of the... read more
Tue.
Sep 6
Todor Markov, Undergraduate Student - IIT
Mar 3, 2016 - 12:45pm
Applied Mathematics - Seminar - RE 103
This talk is meant to connect with earlier seminar discussions on solving polynomial systems via violator spaces and potential applications of that approach.
Thu.
Mar 3
Martin Helmer, Postdoctoral Fellow - Department of Mathematics at the University of California, Berkeley
Feb 25, 2016 - 12:45pm to 1:45pm
Applied Mathematics - Seminar - RE 103
Suppose that we are given a data point u and we wish to approximate this data point by a model X which is parameterized by monomials (this could be a statistical model, a computer vision model, etc.). That is, we wish to find the nearest point to u in our model X, with respect to the (weighted)... read more
Thu.
Feb 25
Sonja Petrovic, Assistant Professor - Department of Applied Mathematics, Illinois Institute of Technology
Jan 28, 2016 - 12:45pm to 1:45pm
Applied Mathematics - Seminar - RE 103
The theory of violator spaces can be used to reduce a large, overdetermined system of polynomial equations to a smaller, more manageable subsystem whose solution set is the same as the original system. We will explore potential applications of this technique for polynomial encodings of graph... read more
Thu.
Jan 28

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