Hamiltonian Monte Carlo with strict convergence criteria reduces run-to-run variability in forensic DNA mixture deconvolution
Mateusz Susik, Holger Schönborn, Ivo F. Sbalzarini
This paper introduces a Hamiltonian Monte Carlo algorithm with strict convergence criteria to reduce run-to-run variability in forensic DNA mixture deconvolution without increasing runtime.
Forensic Science International Genetics · Jul 11, 2022Peer-reviewedGenetics