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A non-Bayesian version of IRT+SEM methods would be a widely useful new feature for `OpenMx`.
Such a feature is not available elsewhere (tmk). A new method developed by Yves Rosseel should be faste…
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I propose moving the Bayesian mediation analysis and Bayesian moderation analysis notebooks from the Case Studies section to the Causal Inference section of the docs.
Both notebooks would be heavil…
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- **Timed trees:** introduce the concept and how they can be estimated. Could introduce both ML and Bayesian methods. As a practical could just use [`treetime`](https://github.com/neherlab/treetime).
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Currently, squidpy focusses mostly on local [spatial neighborhoods ](https://squidpy.readthedocs.io/en/stable/notebooks/tutorials/tutorial_vizgen_mouse_liver.html#neighborhood-enrichment) for niche an…
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The formula here:
https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/blob/master/Chapter1_Introduction/Chapter1_Introduction.ipynb#L575
does not appear in …
cebe updated
10 years ago
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Hi @wolbersm ,
We have been asked a few times by Paul to add return the model object of the MMRM fit for the bootstrap methods for diagnostic / residual purposes.
Talking to @nociale our cur…
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Has anyone has assessed the spatial autocorrelation error of Clay vs standard models in downstream prediction/fine tuning tasks?
Here's an example assessment vs Bayesian models: https://www.mdpi.co…
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https://doi.org/10.1101/131367 (http://biorxiv.org/content/early/2017/04/27/131367)
> Translating the vast data generated by genomic platforms into accurate predictions of clinical outcomes is a fu…
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Opening a discussion on 2nd party integration patterns and on how (or whether) to build a decentral estimator library.
More concretely, what are the base patterns in setting up packages like `proph…
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La idea de este issue es que dejemos un enlace, nota, imagen, comentario, etc. a recursos que nos encontramos por ahi y pensamos que pueden ser utiles para desarrollar este curso.