Posts tagged pymc3.Potential
Using a “black box” likelihood function (numpy)
- 16 December 2021
- Category: beginner
This notebook in part of a set of two twin notebooks that perform the exact same task, this one uses numpy whereas this other one uses Cython
GLM: Robust Regression using Custom Likelihood for Outlier Classification
- 17 November 2021
- Category: intermediate
Using PyMC3 for Robust Regression with Outlier Detection using the Hogg 2010 Signal vs Noise method.
Hierarchical Binomial Model: Rat Tumor Example
- 11 November 2021
- Category: intermediate
This short tutorial demonstrates how to use PyMC3 to do inference for the rat tumour example found in chapter 5 of Bayesian Data Analysis 3rd Edition [Gelman et al., 2013]. Readers should already be familliar with the PyMC3 API.
Sequential Monte Carlo
- 19 October 2021
- Category: beginner
Sampling from distributions with multiple peaks with standard MCMC methods can be difficult, if not impossible, as the Markov chain often gets stuck in either of the minima. A Sequential Monte Carlo sampler (SMC) is a way to ameliorate this problem.
Gaussian Mixture Model
- 18 September 2021
- Category: intermediate
Original NB by Abe Flaxman, modified by Thomas Wiecki