Bayesian techniques primer

by Simone Garrappa (Z_ICE (IceCube+NG))

Tuesday 16 Feb 2021, 11:00 → 12:00 Europe/Berlin

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Bayesian approaches to statistical inference are widely used in Physics and Astronomy. Recently, the number of applications of Bayesian techniques for the extraction of physical parameters and hypotheses testing is rapidly growing in literature. In this talk, I will give a basic introduction on the difference between the frequentist and Bayesian approaches, with practical applications implemented in Python. I will also focus on some techniques I’ve been using in my work on the study of variability in Blazars, like Markov Chain Monte Carlo (MCMC) sampling and Gaussian Process Regression.

Bayesian_Techniques_Primer_SGarrappa.pdf

Video