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Department of Physics
Statistical Methods



M. Rempe et al. k-strip: A novel segmentation algorithm in k-space for the application of skull stripping [arXiv:2205.09706]


O. Schulz et al. BAT.jl - A Julia-based tool for Bayesian inference SN COMPUT. SCI. 2, 210 (2021)
A. Caldwell et al. BAT.jl - Upgrading the Bayesian Analysis Toolkit, proceedings of the 24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019) EPJ Web of Conferences 245 (2020) 06001


D. Casadei, C. Grunwald, K. Kröninger, F. Mentzel  Objective Bayesian analysis of counting experiments with correlated sources of background J. Appl. Stat. 45 (2018) 649


N. Castro et al. EFTfitter: A tool for interpreting measurements in the context of effective field theories Eur. Phys. J. C 76 (2016) 432


F. Beaujean et al. Bayesian Analysis Toolkit: 1.0 and beyond J. Phys. Conf. Ser. 664 (2015) 072003
K. Kröninger, S. Schumann, B. Willenberg (MC)**3 -- a Multi-Channel Markov Chain Monte Carlo algorithm for phase-space sampling Comput. Phys. Commun. 186 (2015) 1