12918_2017_433_MOESM2_ESM.zip (6.79 MB)

Additional file 2 of Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems

dataset

posted on 2017-06-24, 05:00 authored by Benjamin Ballnus, Sabine Hug, Kathrin Hatz, Linus GĂśrlitz, Jan Hasenauer, Fabian Theis

Supplementary Code. Containing a standalone implementation of methods, benchmark problems, data sets and analysis tools used in this study. (ZIP 6953 kb)

Funding

Bundesministerium fĂźr Bildung und Forschung

History

Usage metrics

Keywords

Parameter estimation Markov chain Monte Carlo Sampling analysis Benchmark collection Ordinary differential equation Systems biology

Licence

CC BY + CC0

Exports

RefWorks

BibTeX

Ref. manager

Endnote

DataCite

NLM