• Introductory Overview of PyMC
• Model comparison
• Prior and Posterior Predictive Checks
• Distribution Dimensionality
• PyMC and PyTensor
• PyMC dims module
• GLM: Linear regression
• Gaussian Processes

Note

The notebooks above are executed with each version of the library(available on the navigation bar). In addition, a much larger galleryof example notebooks is available at the“Examples” tab.These are executed more sparsely and independently.They include a watermark to show which versions were used to run them.