Description

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Algebraic statistics is a branch of mathematical statistics that focuses on the use of algebraic, geometric and combinatorial methods in statistics. The workshop will focus on three themes: (1) modeling environmental and ecological systems so that we can better understand the effects of climate change on these systems (2) reimaging urban development and economic systems to address persistent inequity in daily living activities and (3) providing theoretical underpinnings for statistical learning techniques to understand the implications of widespread use and for easy adaptation to novel applications.

These themes emerged in the Fall 2023 long program “Algebraic Statistics and our Changing World” hosted at IMSI. As the next chapter in the interdisciplinary field of algebraic statistics, this workshop is an exciting opportunity to expand on these themes. All participants interested in algebraic statistics are welcome.

Organizers

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E G
Elizabeth Gross University of Hawaiʻi at Mānoa
S P
Sonja Petrović Illinois Institute of Technology
J I R
Jose Israel Rodriguez University of Wisconsin, Madison

Speakers

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Y A
Yulia Alexandr University of California, Berkeley (UC Berkeley)
S C
Shelby Cox University of Michigan
M D
Mathias Drton Technical University Munich (TUM)
E D
Eliana Duarte Universidade do Porto
M H
Max Hill University of Wisconsin, Madison
S H
Serkan Hosten San Francisco State University
K K
Kaie Kubjas Aalto University
H L
Hanbaek Lyu University of Wisconsin, Madison
A M
Aida Maraj University of Michigan
E R
Elina Robeva University of British Columbia
A S
Anna Seigal Harvard University
P Z
Piotr Zwiernik University of Toronto

Registration

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IMSI is committed to making all of our programs and events inclusive and accessible. Contact to request accommodations.

In order to register for this workshop, you must have an IMSI account and be logged in. Please use one of the buttons below to login or create an account.