The distribution of target parameters is very complicated, and it is difficult for us to find the relevant target parameters (f (x)), so we want to use MCMC to take samples from the target function to estimate the results we want, and construct a markov chain to approximate the target function and extract samples from its steady-state assembly.

Filename	Size	Update
Caucypythonrandom.py	943	2020-01-19
MCMCtest.m	1331	2020-01-18
p.m	232	2020-01-19

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