Showing 1-12 of 12 projects
Statsmodels is a Python library for statistical modeling and econometrics, providing tools for data analysis and prediction.
A collection of notebooks covering quantitative finance and numerical methods in Python.
A fast, open-source library for time series forecasting using statistical and econometric models.
A toolkit for automated causal inference and econometric analysis, combining machine learning and econometrics.
A light-hearted yet rigorous approach to learning about impact estimation and causality in Python.
High-performance machine learning algorithms with 2-2000x speed and 50% less memory usage for all hardware.
A Python statistical library for time series analysis and forecasting.
A comprehensive Python library for modeling and forecasting financial time series data using ARCH models.
An open-source marketing mix modeling library that uses AI/ML to democratize modeling knowledge and reduce human bias.
Notebooks for financial economics, including analyses of Federal Reserve, GDP, inflation, and more.
A powerful C++ library for building causal models and performing advanced statistical analysis.
A lightweight Bayesian Marketing Mix Modeling (MMM) library for data scientists and marketers.
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