MCMC, which is an iterative algorithm was implemented in parallel on multiple desktop machines and the results were collated for analysis. The calibration method used differs from pure optimisation strategies and identifies a probability distribution on the parameter space, which is of benefit for ...
update HBR shash tutorial:f fix get_mcmc_zscores 75f3b75 likeajumprope requested review from amarquand and AuguB December 14, 2023 15:46 amarquand merged commit 1f8cfbf into predictive-clinical-neuroscience:main Dec 15, 2023 Sign up for free to join this conversation on GitHub. Already...
adds if-else statement to get_mcmc_quantiles specifies predict_on_new_sites to sample full range of parameters likeajumprope added 2 commits June 10, 2024 13:39 add if-else statement into norm_hbr.py 768ab45 specify var_names to sample all parameters a31f127 likeajumprope requested a ...
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