Questions tagged [mcmc]
Markov chain Monte Carlo (MCMC) methods are a class of algorithms for sampling from a probability distribution based on constructing a Markov chain that has the desired distribution as its equilibrium distribution. The state of the chain after a number of steps is then used as a sample of the desired distribution
4
questions
1
vote
0answers
87 views
Use of PYMC distribution.dist()
In pymc3 documentation, it specifies that the .dist() member for distribution allows the distribution to be used without a model for sampling and use of the logp functions e.g.
...
1
vote
1answer
21 views
the probability distribution of dependent variables
There are three variables, X3 is a function of X1 and X2, ...
2
votes
0answers
26 views
Varying strength of prior for MCMC hierarchical linear model
I am training an MCMC model in using Pymc3.
My aim is to build a series of linear regression models which will predict the time to unload a truck, based on the number of crates to unload.
I have ...
1
vote
1answer
1k views