Speaker
Beatriz Tucci
(Max Planck Institute for Astrophysics)
Description
Modern cosmological inference typically relies on likelihood expressions and covariance estimations, which can become inaccurate and cumbersome depending on the scales and summary statistics under consideration. Simulation-based inference, in contrast, does not require an analytical form for the likelihood but only a prior distribution and a simulator, thereby naturally circumventing these issues. In this talk, we will explore how this technique can be used to infer
Primary author
Beatriz Tucci
(Max Planck Institute for Astrophysics)
