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Implementing this has also made me thing about hierarchical priors. Currently the only way I can think we might do this is similar to this stacking approach but passing in uninstantiated…
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It would be helpful if one could specify priors for classes such as intercepts, coefficients, and covariance matrices across all hierarchical levels of a model (e.g., groups, treatments, or subjects).…
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Following the hierarchical configurations and media transformation interface ([example here](https://www.pymc-marketing.io/en/latest/notebooks/mmm/mmm_components.html#example-custom-mmm)), I think hie…
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Hi Stefan et al.,
Thank you for your research and building this fantastic package. [Amin Ghaderi](https://github.com/AGhaderi/) and I are currently building and testing joint models of EEG and beha…
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Version 1.2.0
```
CreateSourceResponse res = sdk.sources().createSource(Optional.of(sourceCreateRequest));
```
The network request goes through but it fails to deserialize after.
```
23:10…
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I am using google `gemini model free plan`
In the context of avoiding errors like:
`2024-05-26 18:26:30,636 - 14200 - before_sleep.py-before_sleep:65 - WARNING: Retrying langchain_google_genai…
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**Problem Overview**
When using the ```merged_model = BERTopic.merge_models([topic_model_1, topic_model_2])``` command the produced merged topic model cannot be visualised as a hierarchical topic mod…
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Develop Hierarchical Bayesian Models
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- [ ] Group-level effects (Hierarchical Models):
- [x] Varying-Slope: `(x_1 | group)`
- [ ] Varying-Intercept-Slope: `(1 + x_1 | group)`
- [ ] Correlated Group-level effects:
- [ ] "ON" …