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BUGS is an acronym for Bayesian inference Using Gibbs Sampling; BUGS is also a software package for doing this. Use for all versions of BUGS, also WINBUGS and OpenBUGS.

5 votes
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Thinning chains in BUGS/JAGS

Less short answer: If you were to run a BUGS model through R2WinBUGS or R2OpenBUGS (or view a summary of WinBUGS output) with the arguments you stated: n.iter=5000, n.burnin=5000, n.thin=2 you would …
guyabel's user avatar
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3 votes

WinBUGs - Code for time series models

Alternatively, BUGS code for some time series models can be produced in my tsbugs package for R (and then run in BUGS via R2WinBUGS or similar such packages). …
guyabel's user avatar
  • 535
2 votes
Accepted

WinBUGS: Multiple definitions of a node

I don't know about HMM, but I can see that in every loop of i you are defining State[j]. This is causing the error in WinBUGS as it can not sample from each node (such as State[2]) more than once in e …
guyabel's user avatar
  • 535
1 vote

SV model estimation in R using tsbugs

Tell the bugs command which parameters you want to monitor param=c("psi0", "psi1", "tau").... … sv0.bug<-bugs(data=sv0$data, inits=list(inits(sv0)), param=c("psi0", "psi1", "tau"), model="sv0.txt", n.iter=11000, n.burnin=10000, n.chains=1) …
guyabel's user avatar
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0 votes
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Multiplying a matrix by a scalar which has a prior distribution in OpenBUGS

You need to construct covNew element by element for(i in 1:5){ for(j in 1:5){ covNew[i,j]<-tau*covPri[i,j] } } BUGS acts a bit differently than R when it comes to constructing matrices/arrays. …
guyabel's user avatar
  • 535
0 votes

Specification of logical node (with distribution?) in WINBUGS

The multiple definitions of node error comes about from you defining a and b twice. I strongly suspect that WinBUGS can not handle either of your possible a and b assignments as a involves b and b in …
guyabel's user avatar
  • 535