Here, you’ll find blog posts about R and Python, about Machine Learning and Actuarial Topics.
- Explaining a Causal Forest
- Out-of-sample Imputation with {missRanger}
- SHAP Values of Additive Models
- A Tweedie Trilogy — Part III: From Wrights Generalized Bessel Function to Tweedie’s Compound Poisson Distribution
- A Tweedie Trilogy — Part II: Offsets
- A Tweedie Trilogy — Part I: Frequency and Aggregration Invariance
- Interactive Plotting Backend for Model-Diagnostics
See all posts here.