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Let's see how far Hogg's intuition got us!
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Hi!
I tried to implement some very simple Bayesian Regression via NUTS/MCMC. It works well, if I use a single Markov Chain, however, when I increase the number, the program does not stop anymore (b…
Garve updated
3 years ago
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In our [hmm inference test code](https://github.com/probml/dynamax/blob/main/dynamax/hidden_markov_model/inference_test.py#L10), we build an explicit representation of the multi-dimensional joint …
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This following issue springs from discussions had in #31. In particular the comments from jakj:
I am unsure about the idea of a single (approximate) conjugate sampler class. For two reasons I think…
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Hello,
I'm trying to run the code to generate Figure plots, Plot MCMC trace on attack rates you provided, but I'm encountering an error message: "Error in list_to_dataframe(res, attr(.data, "split_la…
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The idea is that this would make it easier to build up a plot layer by layer, allowing for easier customization by users who are familiar with ggplot, rather than calling a function that "does it all"…
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This simple example running on Colab shows this issue:
```
import numpy as np
import tensorflow_probability as tfp
import tensorflow as tf
from time import time
tfd = tfp.distributions
tf…
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- [ ] The KL divergence is currently only working for normal prior distributions. It has not been extended to uniform priors nor cases with bounds. While this is not technically a bug, I am going to l…
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Hi there, I am just confused by the inverse autoregressive flow. Do you use another network model to fit the distribution q(z|x)? Can I understand in the following way?
As far as my know, in the fl…
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Compare using Gaussian _pseudo_-likelihood the posterior derived from score, PCA, etc compressed data vectors to the posterior from the the peak count data vector to validate the different compression…