Recent posts

Least Angle Regression: A Gentle Dive into LARS

Least Angle Regression, or LARS, is an efficient regression algorithm designed for high-dimensional data. It provides a pathwise approach to linear regression that is especially useful in the presence of multicollinearity or when feature selection is crucial.

Monte Carlo Simulations in Macroeconomic Modeling

Monte Carlo simulations offer a powerful way to model uncertainty in macroeconomic systems. This article explores how they’re applied to stress testing, forecasting, and policy analysis in complex economic models.

Model Drift: Why Even the Best Machine Learning Models Fail Over Time

Model drift is a silent model killer in production machine learning systems. Over time, shifts in data distributions or target concepts can cause even the most sophisticated models to fail. This article explores what model drift is, why it happens, and how to deal with it effectively.