Choosing Priors in Bayesian Analysis: A Gentle Guide
A practical, example-driven walkthrough on how to choose priors in Bayesian modeling with real data, PyMC code, and a few lessons learned along the way.
Building a Virtual Theremin with MediaPipe and Pure Data
Using hand tracking to create a virtual theremin with MediaPipe and Pure Data.
Bayesian Filtering for Audio Denoising
Applying a Bayesian Filter using RxInfer for denoising audio data.
Kalman Filter and RxInfer for Structural Dynamics
Implementing an AKF in Julia and RxInfer for Structural Dyanmics analysis.
Bayesian Classification and Survival Analysis with NumPyro
Applying Bayesian Classification and Survival Analysis to the Cirrhosis Patient Dataset.
Bayesian Linear Regression with PyMC
Learn the basics of Bayesian linear regression using the excellent PyMC Probabilistic Programming package. This focuses on model formulation in PyMC, interpretation, and how to make predictions on out-of-sample data.