Tunings for leapfrog integration of Hamiltonian Monte Carlo for estimating genetic parameters
Aisaku Arakawa, Takeshi Hayashi, Masaaki Taniguchi, Satoshi Mikawa, Motohide Nishio
This study applies Hamiltonian Monte Carlo to animal breeding data, identifies optimal leapfrog integration parameters, and shows superior performance over Gibbs sampling in models using pedigree or genomic information.
bioRxiv · Oct 16, 2019 · PreprintGenetics