Introducing a new book to be published in late April 2026, "First Steps in Geospatial Data Science with Python". We are releasing a portion of the book ahead of its publication. The desire to "just ...

StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...

Current Python alternatives for statistical models are slow, inaccurate and don't scale well. So we created a library that can be used to forecast in production environments or as benchmarks.

The Alfred P. Sloan Foundation awarded three Brown professors with early career research fellowships last week. The foundation named Assistant Professor of Mathematics Eric Larson, Assistant Professor ...

Linux has become increasingly popular for data analysis due to its stability and versatility. Econometrics and statistical analysis are fundamental to various fields such as economics, finance, ...

We have developed a practical and elegant closed-form option pricing formula for general GARCH models using a risk-neutral argument. To estimate the parameters, we propose a procedure and utilize ...