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Topic-Contributed Paper Session

Simulation-Based Inference: Robust Methods for Astronomy and the Broader Sciences

Wed, Aug 5, 2:00 PM - 3:50 PM Room CC-107A Thomas M. Menino Convention & Exhibition Center

Maximilian AutenriethOrganizerMaximilian AutenriethChair

Section on Physical and Engineering Sciences co: Section on Bayesian Statistical Scienceco: Astrostatistics Interest Group Applied

5 Presentations

An Introduction to Simulation-Based Inference for Astronomical Applications

2:05 PM - 2:25 PM

Kaisey Mandel (University of Cambridge)

astrostatistics Bayesian methods machine learning simulation-based inference

Building a reliable simulator at scale, the case of Rubin Supernova Cosmology

2:25 PM - 2:45 PM

Connor Stone (University of Toronto)

Simulation-Based Inference Simulators Two-Sample Tests Python Rubin Observatory

Millions of Galaxies, Sparse Information: Reliable SED Inference for HETDEX with Neural Density Estimators

2:45 PM - 3:05 PM

Lishan Shi (The Pennsylvania State University)

Shedding light on Dark Energy with Weak Lensing and Hybrid Statistics

3:05 PM - 3:25 PM

T. Lucas Makinen

simulation-based inference cosmology neural statistics

Trustworthy Scientific Inference from Limited or Sparse Calibration Data

3:25 PM - 3:45 PM

Likelihood-free inference Model misspecification Limited data

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