Skip to content

Instantly share code, notes, and snippets.

@petermchale

petermchale/poisson_mixture_distribution_basic.ipynb

Last active May 14, 2023 15:11
Show Gist options
  • Save petermchale/07659e2b56775392337d5c1ce733c565 to your computer and use it in GitHub Desktop.
Save petermchale/07659e2b56775392337d5c1ce733c565 to your computer and use it in GitHub Desktop.
Download ZIP
Training a neural network model of a Poisson Mixture Distribution on bimodal data
Display the source blob
Display the rendered blob
Raw
poisson_mixture_distribution_basic.ipynb
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@FarhaU
Copy link

FarhaU commented May 14, 2023

Do you use Poisson-Poisson mixture models in your above working code?

@petermchale
Copy link
Author

No, I use a bilinear combination of Poisson distributions to generate the data (e.g. see prior_vector and the graphs), and a linear combination of 10 Poisson distributions to model the data (see number_mixture_components).

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment