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Is there any chance that the multichain DREAM sampler is re-implemented in pymc? There was [once a version for pymc2](https://github.com/jsalvatier/multichain_mcmc), but its not working any more.
maahn updated
7 years ago
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We should think about implementing spatial correlations similar to the correlation structures that can be modeled with nlme.
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Michael,
I have invited you to collaborate on two github repositories, "MBAR_LJ_two_states" and "MBAR_sampling_LJ_methane".
MBAR _LJ_two_states is a very simple python code that helps demonstra…
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Hi there,
Great work! I am wondering if you have compared the model estimation result with the output from lme4?
A while ago I tried to compare different approaches to do a simple linear mixed model…
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#### Summary:
This is where updates for the 2.12 manual should go.
v2.12.0
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I would like to do comparative analysis with brms but it needs phylogenetic correlation structures.
Some examples at ?ape::corClasses
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I talked to Bob about comparing the ensemble samplers that are in https://github.com/stan-dev/stan/tree/feature/issue-362-ensemble-samplers to HMC but we're not sure what models to use for comparison.…
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The ACS model works well but it explores the posterior distribution of the high-level parameters (the two parameters of the gamma prior common to all bias ratios) very slowly. Slow mixing of hyperpar…
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Models that use the Wishart as a prior currently fail with valid parameters. For example,
```
s = pm.Wishart('s', 4, 3, np.eye(3))
```
Fails with the following:
```
TypeError: Wrong number of dimen…