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Results tagged with bugs
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user 35989
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.
1
vote
Specification of logical node (with distribution?) in WINBUGS
In BUGS you can define variable only once, so defining a <- and b <- twice produces error. …
- 141k
2
votes
Accepted
Winbugs beta distribution
Beta is a distribution bounded in $[0, 1]$, or $(0, 1)$, depending on it's definition. Notice however that since it is continuous, probability of seeing exact $0$ or $1$ is zero. Moreover, log-likelih …
- 141k
5
votes
Measurements from two raters. Should I use multilevel/"random-effects" model?
Merging in most cases is not a good option. Multilevel model is better idea. Of course, not a classical generalized linear mixed model, because you have not enough observations for "random" effect, bu …
- 141k
3
votes
Comparing a model with two rate parameters to a model with one. Conjugate priors?
BUGS/JAGS choose "best" approach for sampling given your model specification, so if you define a conjugate prior they know how to sample using them. …
- 141k
2
votes
Accepted
(Failure) probability calculation
You can use the formula you quote, but it seems you choose to use Bayesian estimation method that includes prior information in the statistical model. Those are two different ways of doing statistics. …
- 141k