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Results tagged with bayesian
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user 16178
Bayesian inference is a method of statistical inference that relies on treating the model parameters as random variables and applying Bayes' theorem to deduce subjective probability statements about the parameters or hypotheses, conditional on the observed dataset.
9
votes
What is the difference between R hat and psrf?
$\hat{R}$ and "potential scale reduction factor" refer to the same thing. See Chapter 6 of the Handbook of Markov Chain Monte Carlo, "Inference from Simulations and Monitoring Convergence" by Andrew G …
- 356
3
votes
Accepted
Multilevel model with partially pooled variance
The general idea of your model can be handled in Stan (and possibly in PyMC and other statistical inference packages). Here are a couple of suggestions:
Hyperparameters
We (i.e. Andrew) have been su …
- 356