Dear all
I have a model with four paramters, I want to estimate the parameter
uncertainty, so Bayesian analysis with MCMC method is applied.
But every sigle mcmc chain seems give quite different parameter marginal
distributions.
In order to get the true parameter marginal distributions, I do like this:
(1) I take 100 MCMC chain, and each chain has 10000 iterations.
(2) caculate the different parameter marginal distributions according to
the frequence of paramter in step 1 sampling.
The result seems reasonable. but is it right?
Looking forward for your reply, Thanks in advance
Han Ming
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