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I should implement MultiNest (specifically [PyMultiNest](https://github.com/JohannesBuchner/PyMultiNest)) as nested sampling typically converges more quickly than MCMC and can handle multi-modal poste…
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![rmsa_glmer_zinb2i_PriorPosterior_plots](https://user-images.githubusercontent.com/73861013/206628557-30276012-b01e-4220-ab07-ab941beafc60.jpg)
Above are histograms of posterior probability distri…
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https://github.com/pymc-devs/pymc-experimental/blob/ae7b80fc8ad1636e8c5d178c46bd85cf3c0f2e85/pymc_experimental/distributions/discrete.py#L31
Make the random generator vectorized in numba.
The or…
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One might want to use `MH`, `HMC`, etc. to sample from a distribution with unknown/intractable normalization factor rather than to sample from a posterior. In theory there's nothing prohibiting this k…
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Traceback (most recent call last):
File "train.py", line 136, in
pred_post, pred_prior, lattent_loss, depth_pred_post, depth_pred_prior = generator.forward(images,depths,gts)
File "/home/p…
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Hi all,
I believe I found a bug while trying to generate posterior predictive distributions. As shown below, it is possible to sample from distributions unless they are bounded and more than one sa…
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Hello,
My research needs to change the prior distribution parameters to train a Bayesian Neural Network model. More specifically, I want to change the prior Gaussian distribution mu and sigma.
…
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Hello there!
For educational purposes, I experimented a bit with different model formulations, with and without centering in brms. For that, I formulated priors and wanted to get prior draws with t…
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It would be useful to complete the prior rating curve tabs in the same way as the posterior rating curve tabs (table, etc.).
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Outlining some notes from an in-person conversation with Andreas:
- When doing `viz.heatMap`, we need to know how many samples there were -- it would be nice if this information was available in margi…