%0 Journal Article %1 Susik2022 %A Susik, Mateusz %A Schönborn, Holger %A Sbalzarini, Ivo F. %D 2022 %I Elsevier BV %J Forensic Science International: Genetics %K topic_lifescience imported %P 102744 %R 10.1016/j.fsigen.2022.102744 %T Hamiltonian Monte Carlo with strict convergence criteria reduces run-to-run variability in forensic DNA mixture deconvolution %U http://dx.doi.org/10.1016/j.fsigen.2022.102744 %V 60

@article{Susik2022, added-at = {2024-10-15T13:24:46.000+0200}, author = {Susik, Mateusz and Sch\"{o}nborn, Holger and Sbalzarini, Ivo F.}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/219a87009749cfa4b1df2d9b6c79c8570/scadsfct}, doi = {10.1016/j.fsigen.2022.102744}, interhash = {742609ba722f256efc1680a2b132b159}, intrahash = {19a87009749cfa4b1df2d9b6c79c8570}, issn = {1872-4973}, journal = {Forensic Science International: Genetics}, keywords = {topic_lifescience imported}, month = sep, pages = 102744, publisher = {Elsevier BV}, timestamp = {2024-11-28T17:41:27.000+0100}, title = {Hamiltonian Monte Carlo with strict convergence criteria reduces run-to-run variability in forensic DNA mixture deconvolution}, url = {http://dx.doi.org/10.1016/j.fsigen.2022.102744}, volume = 60, year = 2022 }