Description
Back to topThe long program’s goal is to identify emerging trends and interactions between nonlinear algebra, geometry, combinatorics with data science, machine learning, social sciences, economics, and ecology. To this end, our introductory workshop will outline the mathematical and computational tools that algebraic statistics offers for the fundamental problem of statistical inference and modeling, as well as identify themes that the program will aim to develop. Lectures will cover algebraic statistics basics in terms of focused applications to establish a common language for participants of the program coming from varying disciplines. One outcome of this workshop will be short introductory videos about key concepts of algebraic statistics.
Organizers
Back to topSpeakers
Back to topSchedule
Back to topSpeaker: Carlos Améndola (Technische Universität Berlin)
Speaker: Julia Lindberg (University of Texas, Austin)
Speaker: Seth Sullivant (North Carolina State University)
Speaker: Pratik Misra (KTH Royal Institute of Technology)
Speaker: Joe Kileel (University of Texas, Austin)
Speaker: Kathlén Kohn (KTH Royal Institute of Technology)
Speaker: Tianran Chen
Speaker: Irem Portakal (Technical University of Munich (TUM))
Speaker: Elizabeth Gross (University of Hawaiʻi at Mānoa)
Speaker: Neriman Tokcan (UMASS Boston)