Dear All
I get samples from MCMC sampling to a posterior distribution. there is
four variables, how could I get a joint distribution for this four variable
from the samples?
Thanks in advance~!
Han Ming
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An explicit formula for a posterior distribution is not something to expect
from an MCMC procedure. But the next best thing to an explicit formula for a
posterior distribution is a zillion samples from that distribution (which is
what you have).
What you can do is display smooth representation
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 distri
R-sig-ecology peeps,
I have been helping a friend run an NMDS and we started talking about the
the goodness of fit statistic (GOF) to identify outliers. It got me thinking
about this metric a bit more. I have always used exploratory analysis
procedures, like normal qqplot, histograms, box plots, e