Do analysis on number of samples necessary for the MCMC output #1042
Labels
topic: adnuts and MCMC
Anything related to Bayesian inference in the assessment model
Milestone
In an effort to reduce the samples from 8,000 to much less to save computation time, space and RAM. We should run the base model at 8,000, 6,000, 4,000, 2,000 and 1,000 samples each with 250 warmup and compare the uncertainty to find the minimum acceptable size.
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