tag: Bayesian Regression

Applying Bayesian Classification and Survival Analysis to the Cirrhosis Patient Dataset.

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.

This tutorial covers the fundamentals of Bayesian approaches to time series, model construction, and practical implementation, using real-world data for hands-on learning.

Explore Bayesian Poisson regression for modeling count data with Julia and Turing.jl. This tutorial includes model setup, implementation, and performance assessment with a practical example.

Applying Turing.jl package in Julia for a probabilistic approach to a classification problem on a real-world dataset.