The Bayesian Zig Zag: Developing and Testing PyMC Models by Allen Downey

Speaker: Allen Downey

Tools like PyMC make it easy to implement probabilistic models, but it is still challenging to develop and validate those models. In this talk, I present an incremental strategy for developing and testing models by alternating between forward and inverse probabilities and between grid algorithms and MCMC. I’ll use Poisson processes as an example, but this strategy applies to other probabilistic models.

Part of PyMCon2020.
More details at http://www.pymcon.com

Discourse Discussion
https://discourse.pymc.io/t/the-bayesian-zig-zag-developing-and-testing-pymc-models-by-allen-downey/5978

Видео The Bayesian Zig Zag: Developing and Testing PyMC Models by Allen Downey канала PyMC Developers