Statistical Methods for the Detection, Classification, and Inference of Relativistic Objects (online)

More info:  external link
Date:  2020-11-16  -  2020-11-20

Location:  Online

We would like to invite you to the fourth workshop as part of the semester-long program “Advances in Computational Relativity”.

This fourth workshop will focus on data analysis strategies for comparing model predictions to data. Special attention will be placed on comparing solutions to the Einstein field equations (as in workshops 2 and 3) with data collected from gravitational-wave detectors or telescopes. The workshop will include (but will not be limited to) coverage of topics involving reduced-order models, surrogate models, machine learning, UQ, and Bayesian techniques. The workshop will feature talks from physics, (applied) mathematics, and statistics communities as well as panel discussions and/or tutorials.

Due to COVID-19, this workshop will be held online.

Please apply using the link “Apply with Cube” at the workshop website if you would like to participate in this workshop.

Program Organizing Committee:
Sara Algeri, University of Minnesota
Sarah Caudill, Nikhef
Katerina Chatziioannou, Caltech
Alessandra Corsi, Texas Tech University
Scott Field, University of Massachusetts Dartmouth
Jonathan Gair, Max Planck Institute for Gravitational Physics
Jae-Hun Jung, POSTECH
Gaurav Khanna, University of Massachusetts Dartmouth