Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology

Tobias Röspel, Adrian Schlosser, Björn Malte Schäfer

Subject of this paper is the simplification of Markov chain Monte Carlo sampling as used in Bayesian statistical inference by means of normalising flows, a machine learning method…