Orateur
Dr
Florent Leclercq
(Imperial Centre for Inference and Cosmology, London)
Description
Large-scale astronomical surveys carry opportunities for testing physical theories about the origin and evolution of the Universe. Advancing the research frontier requires solving challenging and unique statistical problems, to unlock the information content of massive and complex data streams. In this talk, I will present recent methodological advances, aiming at fitting cosmological data with "black-box" numerical models. I will discuss two different solutions, depending on the scenario: Bayesian optimisation (BOLFI) and Taylor-expansion of the simulator (SELFI).
References:
http://arxiv.org/abs/1805.07152
http://arxiv.org/abs/1902.10149