This event is part of Algebraic Statistics and Our Changing World View Details

Algebraic Statistics for Ecological and Biological Systems

Description

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Many models in ecology, evolutionary biology, and, more generally, biological systems, have underlying graphical structures.  These include probabilistic models such as Gaussian graphical models, staged tree models, structural equation models, and latent tree models, as well as deterministic models, such as linear compartment models.  Drawing on current trends and strengths in algebraic statistics, this workshop will put such models front and center by introducing existing techniques and known challenges..  Motivated by evolutionary biology, microbiomes, epidemiology, and ecosystem modeling, the workshop will be multidisciplinary, bringing together researchers from multiple fields to study these combinatorial models and their applications.

Organizers

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E D
Eliana Duarte Universidade do Porto
E G
Elizabeth Gross University of Hawaii at Mānoa
E R
Elina Robeva University of British Columbia
S S
Seth Sullivant North Carolina State University

Speakers

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D B
Daniel Bernstein Tulane University
A B
Andrew Brouwer University of Michigan
J C
Jane Coons Oxford University
M D
Mathias Drton Technical University of Munich
M E
Marisa Eisenberg University of Michigan
M G L
Marina Garrote Lopez University of British Columbia
G G
Gil Grindstaff Oxford University
Y G
Yuqi Gu Columbia University
R H P
Roser Homs Pons Centre de Recerca Matemàtica
T K
Thomas Kahle Otto-von-Guericke University Magdeburg
A M
Aida Maraj University of Michigan
A M
Alex Markham KTH Royal Institute of Technology
N M
Nikki Meshkat Santa Clara University
J R
John Rhodes University of Alaska
C S L
Claudia Solis Lemus University of Wisconsin
N T
Neriman Tokcan University of Massachusetts, Boston
S W
Samuel Wang Cornell University
K Z
Kun Zhang Carnegie Mellon University
P Z
Piotr Zwiernik University of Toronto

Registration

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