5–9 Oct 2020
Virtually and at MPP
Europe/Berlin timezone

Updates on BAT.jl, a Bayesian Analysis Toolkit in Julia

9 Oct 2020, 10:00
1h
Zoom, Gather Town and MPP Auditorium (Virtually and at MPP)

Zoom, Gather Town and MPP Auditorium

Virtually and at MPP

Max Planck Institute for Physics, Munich and anywhere on earth via remote connection

Speaker

Oliver Schulz (Max Planck for Physics)

Description

BAT.jl is a Bayesian Analysis Toolkit implemented in the Julia language. It is a high high-performance tool box for Bayesian inference with statistical models expressed in a general-purpose programming language, instead of a domain-specific language.

Typical applications for this package are the extraction of the values of the parameters of a model, the comparison of different models in the light of a given data set and the test of the validity of a model to represent the data set at hand. BAT.jl provides access to the full Bayesian posterior distribution to enable parameter estimation, limit setting and uncertainty propagation. BAT.jl also provides supporting functionality like plotting recipes and reporting functions.

Presentation materials