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### Description
For univariate IID, adding a transform=`ordered` is equivalent to sorting the raw draws (forward pass). The logp is proportional to the density of the original draws + ordered trans…
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Neither the `posterior_predictive` nor the `posterior_predictive_branch` samplers check for the existence of functional "r" random generation functions. This causes a problem in the case of user-defi…
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I got quite excited about the `Soss.jl` presentation in JuliaConn 2021 that I decided to give it a go by implementing a mixture of Gaussian model. I borrowed [the example from Turing.jl](https://turin…
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### Feature:
A new `MMDTraceELBO` class, that will implement a Maximum Mean Discrepancy between samples from guide an from model instead of KL-divergence as in `TraceELBO` class.
### Motivation:
…
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New visualizations needed:
## Dynamical/ODE system models (like Lotka-Voltera, SIR, etc.):
[Example notebook](https://github.com/ciemss/pyciemss/blob/099ada4a4eb84d21018ef5063e5b762b8b6abb5d/note…
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### biomass trajectories
Only really used for plotting posterior biomass estimates
- Calculate percentiles
- throw away entire distributions (don't save in blob)
### Parameter estimates
Could be goo…
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I observe a very weird behaviour where the `@time` macro constantly reports "compilation time", even though `SnoopCompile` does not report any inference or invalidation problems.
MWE
```
] ac…
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- How can data be modelled as a mixture of two normal distributions?
My first attempt had issues. In particular, mu1 and mu2 had the posterior
distributions eventhough conceptually I wanted to someho…
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### Before
```python
import pymc as pm
from pymc.model.transform.optimization import freeze_dims_and_data
with pm.Model() as m:
...
with freeze_dims_and_data(m):
idata_prior = pm.sam…
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I wonder the difference between Bayesian MCMC model and Bayesian regression analysis model.
The tensorflow_probability library is being used. The code has been imported from Excel into the target val…