Statistics for topic econometrics
RepositoryStats tracks 650,729 Github repositories, of these 73 are tagged with the econometrics topic. The most common primary language for repositories using this topic is Jupyter Notebook (24). Other languages include: Python (17)
Stargazers over time for topic econometrics
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Collection of notebooks about quantitative finance, with interactive python code.
Statsmodels: statistical modeling and econometrics in Python
Lightning ⚡️ fast forecasting with statistical and econometric models.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goal...
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Collection of notebooks about quantitative finance, with interactive python code.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Lightning ⚡️ fast forecasting with statistical and econometric models.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goal...
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Collection of notebooks about quantitative finance, with interactive python code.
Statsmodels: statistical modeling and econometrics in Python
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goal...
Lightning ⚡️ fast forecasting with statistical and econometric models.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Collection of notebooks about quantitative finance, with interactive python code.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goal...
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Collection of notebooks about quantitative finance, with interactive python code.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Statsmodels: statistical modeling and econometrics in Python
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goal...
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
CausalMatch is a Bytedance research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about automation in decision-making process.
A Python package containing 111 data sets of Introductory Econometrics: A Modern Approach (7th ed, J.M. Wooldridge)
Notebooks for Applied Causal Inference Powered by ML and AI
Lightning ⚡️ fast forecasting with statistical and econometric models.
CausalMatch is a Bytedance research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about automation in decision-making process.
Statsmodels: statistical modeling and econometrics in Python
Collection of notebooks about quantitative finance, with interactive python code.
Lightning ⚡️ fast forecasting with statistical and econometric models.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goal...
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Visualise your CSV files in seconds without sending your data anywhere
Notebooks for Applied Causal Inference Powered by ML and AI
This package implements the local projections models in Python for single entity time series, and panel / longitudinal data settings, due to Jorda (2005), and based on codes available at https://sites...
Repositorio de la clase de Econometría I · Facultad de Economía · UNAM · Semestre 2025-1