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@yookoon Thank you for the interesting work and the code repository. We are trying to support your proposed method in our UQ-Library for Deep Learning called [Lightning-UQ-Box](https://github.com/ligh…
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Either use random numbers between 0.5 and 1 LOQ, or Bayesian methods
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The link http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/ is currently redirecting me to `http://ww17.bm4h.com/` instead. Did the DNS registration expire?
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Putting all this in a metaissue. Here is some feedback and notes on the causal chapter:
The two biggest bits of feedback I have:
1. I feel like you are skirting around the assumptions issue. You k…
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#### Is your feature request related to a problem? Please describe
I'd like to run this R code in python statsmodels:
```R
model
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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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Hi there,
Thanks for the great package. I am currently using default GPyOpt.methods.BayesianOptimization() with default GP model for optimizing a set of parameters x (cost function is expensive to …
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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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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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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…