Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

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The alert-success box that begins "Tensorflow Probability is part of the colab default runtime"---and created by the div tag---is not supported by nbconvert, when converting the chapter to PDF. The...

bridgeland

When converting Chapter 1 TFP to PDF via nbconvert, the latter fails, reporting "erroneous nesting of equation structures": ! Package amsmath Error: Erroneous nesting of equation structures; (amsmath) trying to...

bridgeland

Chapter 3 | creating Poisson data N>1 likelihood error | TFP version

1

Hi there, when trying to run the code with N>1 (introduction of part 3) these lines are not executed `likelihood_x_ = evaluate(tfd.Poisson(rate=x_).prob(data_[:, 0])) likelihood_y_ = evaluate(tfd.Poisson(rate=y_).prob(data_[:, 1]))` Error message: ValueError:...

Pindar777

Added links to Deepnote

1

I prefer Deepnote over nbviewer as it allows you to edit the code and you can save your work online. I added links for each chapter in case anyone else...

jirkalhotka

You write on the social example: > What you can say for certain is that the true rate is less than your observed rate I assume you mean: > the...

ricardoV94

Commit https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/commit/d39fa938267cb4b0fc09ec6474e2a94df78fbe09 makes this notebook runnable. The rest are deprecation fixes.

hsm207

Hello, I'm a newbie of Bayesian statistics, thanks for authors' awesome work. I found the demo code of Normal Distribution may have a problem. the `scipy.stats` function `norm` has a...

MinTTT

Exercise Answer Key?

13

It would be useful if there existed an answer key for the exercises. With such a key, the feedback obsessed like myself could verify they aren't making dumb mistakes or...

cledoux

I'm not sure if you (authors) were intending the appendix section of the print version to be only for those who purchased the print version, however I added the extension...

marshallm94

This PR clears up some confusion present in "Ch3_IntroMCMC_PyMC3" that arises from a sudden switch-up of variable names referring to the same cluster (explained in #367).

escontra