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Results tagged with markov-chain-montecarlo
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user 3098
Markov Chain Monte Carlo (MCMC) refers to a class of simulation methods for generating samples from a complex target distribution by generating random numbers from a Markov Chain whose stationary distribution is the target distribution. MCMC methods are typically used when more direct methods for random number generation (e.g. inversion method) are infeasible. The very first MCMC method was the Metropolis (et al.) algorithm, later expanded by Hastings.
0
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Accepted
Jags error with dgamma
I have received these errors when not using appropriate initial values for my parameters. Rather than writing functions to generate initial values (which I presume you have done), I would provide sta …
- 729
4
votes
Accepted
Is there a way to continue a R/JAGS MCMC chain that did not converge?
You can use autojags(currentmodel,n.iter,...) from R2jags. You can specify the criteria for "convergence" based on $\hat R$.
- 729