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**Submitting author:** @matteodelucchi (Matteo Delucchi)
**Repository:** https://github.com/furrer-lab/abn
**Branch with paper.md** (empty if default branch):
**Version:** 3.1.0
**Editor:** @crvernon…
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Thank you very much for your task, I have been following up your research recently, may I ask where is the code related to Bayesian networks? I didn't see the code for the Bayesian network model
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### Issue Type
Bug
### Source
binary
### Keras Version
2.16.0
### Custom Code
No
### OS Platform and Distribution
Linux Ubuntu 20.04
### Python version
3.10
### GPU model and memory
_No r…
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Work with multi-layer bayesian neural networks and compare it with more classical methods (ADVI).
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- Time 0 model (baseline conditions and time-dependent variables at T=1)
- Time t model (maps time-dependent variables at time t to the same at time t+1) • unroll.markovNetwork(startTime=NULL, stop…
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Are there any plans for implementing causal Bayesian networks?
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Hi, I hope to use a time series data to fit a dynamic bayesian network. But after looking up the docs, I didn't find dynamic bayesian network class.
I'm wondering is there any easy method to extent t…
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I've read through the documentation and notebooks for Continuous Factors several times, but there is still a big gap between what is written there and what I need to know to create an actual Bayesian …
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Can we use compound distributions to represent Bayesian networks?
Some possible SymPy extensions:
- Support multiple compounded hyperparameters on one random symbol.
- Support nesting compound …