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Currently, the functions in `diagnostics.py` exhibit a lot of code duplication; most of it can be delegated to one or two helper functions which are then utilized by the diagnostics functions.
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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…
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Hi! I have run a SimulatedABCSMC inference using a given threshold schedule, for instance
`threshold_schedule = [3.0, 2.0, 1.0, 0.5, 0.2]`
Now, after checking my posterior distributions, I believe …
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Halo! Currently, I am trying to fit the light curve of detached binary with an MCMC sampler. My problem is, that I do not know why the solution does not fit with my data, despite the chain seems conve…
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### Describe the issue linked to the documentation
In the documentation for [Bayesian ridge regression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.BayesianRidge.html) th…
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Hi Cellblast Team
I'm not a python expert
I have a problem with wasserstein_distance
TypingError: Failed in nopython mode pipeline (step: nopython frontend)
No implementation of function Functio…
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Hi,
I've re-implemented GPflow's [`gauss_kl`](https://github.com/GPflow/GPflow/blob/master/gpflow/kullback_leiblers.py) method using the `tensorflow_probability.distributions.kl_divergence` method.…
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Hello,
I'm trying to plot the prior and posterior distributions of my model's parameters.
When do mmm.fit(..., weekday_seasonality = False), the function mmm.plot_prior_and_posterior(...) plots …
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This issue pertains to Chapter 10 and its source code in `variability.py`, which estimates distributions for the mean and standard deviation of male and female heights, then uses the distributions to …
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I am having issues using celerite2 with PYMC. In the past (with PyMC3) I always used `gp.marginal(observed=y-extra_model)` in order to sample models which included both GP and other variables (i.e. a …