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220603 * ! Wed, 8/11/2021, 3:30 PM - 5:20 PM
Statistical Challenges in Cosmology — Topic Contributed Papers
Section on Nonparametric Statistics, Astrostatistics Special Interest Group, Section on Statistical Learning and Data Science, Section on Physical and Engineering Sciences
Organizer(s): Collin A Politsch, Carnegie Mellon University
Chair(s): Jessi J. Cisewski-Kehe, University of Wisconsin-Madison
3:35 PM Three-Dimensional Cosmography of the High Redshift Universe Using Intergalactic Absorption
Collin A Politsch, Carnegie Mellon University; Jessi J. Cisewski-Kehe, University of Wisconsin-Madison; Rupert Croft, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon University
3:55 PM Stratified Learning: A General-Purpose Method for Supervised Learning Under Covariate Shift with Applications to Observational Cosmology
Maximilian Autenrieth, Imperial College London; David A van Dyk, Imperial College London; Roberto Trotta, Imperial College London, International School for Advanced Studies (Trieste); David C Stenning, Simon Fraser University
4:15 PM Cosmological Parameter Inference in Photometric Surveys: An Inverse Problem
Markus Michael Rau, Carnegie-Mellon-University
4:35 PM Learning to Predict Structure Formation in the Universe
Yin Li, Flatiron Institute
4:55 PM Discussant: Chad Schafer, Carnegie Mellon University
5:15 PM Floor Discussion