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### Subject of the issue
Add support for causal inference in Bayesian Networks. It should be a new class accepting all the models on which causal inference can be done (Bayesian Networks and SEM at t…
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When employing the pocoMC package for Bayesian Inference runs using tellurium for modeling, we have encountered issues with parallelization. Using multiprocess(ing), we noticed a very big discrepancy …
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@DeirdreLoughnan volunteered to help with this via email- thank you!
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Hello, I an new to blackjax and recently came across your nice examples. However, I had to change a few line of codes to use recent versions of the jax/blackjax ecosystem, in particular the adaptation…
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**Notebook title**: Variational Inference: Bayesian Neural Networks
**Notebook url**: https://www.pymc.io/projects/examples/en/latest/variational_inference/bayesian_neural_network_advi.html
## Iss…
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One of my main concerns related to the implementation of Bayesian inference with ITIC is how to implement experimental data. ITIC works well when comparing to REFPROP because we can evaluate REFPROP p…
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Tracker issue for the educational project
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**Submitting author:** @meixichen (Meixi Chen)
**Repository:** https://github.com/meixichen/SpatialGEV
**Branch with paper.md** (empty if default branch): joss
**Version:** v1.0.1
**Editor:** @vissari…
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**Submitting author:** @MicroPhen (Stephan Noack)
**Repository:** https://github.com/JuBiotech/peak-performance/
**Branch with paper.md** (empty if default branch): peak-performance-paper
**Version:**…
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It would be useful to allow Bayesian inference with no observations (eg rating curve without any gauging).