Published March 11, 2022 | Version 2

Supplementary Data to *Robust adaptive distance functions for approximate Bayesian inference on outlier-corrupted data*

  • 1. Institute of Computational Biology, Helmholtz Zentrum München -- German Research Center for Environmental Health, 85764 Neuherberg, Germany
  • 2. Faculty of Mathematics and Natural Sciences, Rheinische Friedrich-Wilhelms-Universität Bonn

Description

Supplementary code and data to Robust adaptive distance functions for approximate Bayesian inference on outlier-corrupted data by Y. Schaelte et al., 2021.

The archive contains a README.rst for information on what is where and how to execute the study and generate the figures. The underlying code without the data can be found at the repository https://github.com/yannikschaelte/study_abc_rad, of which this archive is a snapshot.

 

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study_abc_rad_20210724.zip

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