BAT.jl – A Julia-based tool for Bayesian inference

08/07/2020

∙

We describe the development of a multi-purpose software for Bayesian statistical inference, BAT.jl, written in the Julia language. The major design considerations and implemented algorithms are summarized here, together with a test suite that ensures the proper functioning of the algorithms. We also give an extended example from the realm of physics that demonstrates the functionalities of BAT.jl.

READ FULL TEXT

BAT.jl – A Julia-based tool for Bayesian inference

Bayesian Inference for Latent Chain Graphs

UltraNest – a robust, general purpose Bayesian inference engine

Accelerating Bayesian inference in hydrological modeling with a mechanistic emulator

Bayesian inference for misspecified generative models

Bayesian Experimental Design for Oral Glucose Tolerance Tests (OGTT)

Hierarchical Bayesian Bradley-Terry for Applications in Major League Baseball

Cataloging the Visible Universe through Bayesian Inference at Petascale

BAT.jl – A Julia-based tool for Bayesian inference

Related Research

Bayesian Inference for Latent Chain Graphs

UltraNest – a robust, general purpose Bayesian inference engine

Accelerating Bayesian inference in hydrological modeling with a mechanistic emulator

Bayesian inference for misspecified generative models

Bayesian Experimental Design for Oral Glucose Tolerance Tests (OGTT)

Hierarchical Bayesian Bradley-Terry for Applications in Major League Baseball

Cataloging the Visible Universe through Bayesian Inference at Petascale