Trending repositories for topic econometrics
Lightning ⚡️ fast forecasting with statistical and econometric models.
Collection of notebooks about quantitative finance, with interactive python code.
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Statsmodels: statistical modeling and econometrics in Python
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
This repository hosts the code behind the online book, Coding for Economists.
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的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
This repository hosts the code behind the online book, Coding for Economists.
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
Lightning ⚡️ fast forecasting with statistical and econometric models.
Collection of notebooks about quantitative finance, with interactive python code.
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
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...
Statsmodels: statistical modeling and econometrics in Python
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Collection of notebooks about quantitative finance, with interactive python code.
Statsmodels: statistical modeling and econometrics in Python
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
This repository hosts the code behind the online book, Coding for Economists.
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
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...
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
This repository hosts my reading notes for academic papers.
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly withou...
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
This repository hosts my reading notes for academic papers.
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
This repository hosts the code behind the online book, Coding for Economists.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly withou...
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
Collection of notebooks about quantitative finance, with interactive python code.
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
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.
Statsmodels: statistical modeling and econometrics in Python
Lightning ⚡️ fast forecasting with statistical and econometric models.
Collection of notebooks about quantitative finance, with interactive python code.
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.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry throug...
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
This repository hosts the code behind the online book, Coding for Economists.
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly withou...
This repository summarizes the traditional and recently proposed estimators in the difference-in-differences research design.
Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH
This repository summarizes the traditional and recently proposed estimators in the difference-in-differences research design.
Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH
This repository hosts my reading notes for academic papers.
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Books and Papers in Mathematics, Econometrics, Machine Learning, Finance etc for different levels that can be useful for Data Scientists, Developers and everyone whoo is interesting in STEM.
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly withou...
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry throug...
Vanilla option pricing and visualisation using Black-Scholes model in pure Python
Lightning ⚡️ fast forecasting with statistical and econometric models.
This repository hosts the code behind the online book, Coding for Economists.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
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...
Statsmodels: statistical modeling and econometrics in Python
Lightning ⚡️ fast forecasting with statistical and econometric models.
Collection of notebooks about quantitative finance, with interactive python code.
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.
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry throug...
This repository hosts the code behind the online book, Coding for Economists.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX ...
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly withou...
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
This repository summarizes the traditional and recently proposed estimators in the difference-in-differences research design.
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly withou...
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Multiple econometrics cheat sheets with a complete and summarize review going from the basics of an econometric model to the solution of the most popular problems.
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
This repository hosts my reading notes for academic papers.
Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis te...
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
This repository hosts the code behind the online book, Coding for Economists.
Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH
Vanilla option pricing and visualisation using Black-Scholes model in pure Python
Lightning ⚡️ fast forecasting with statistical and econometric models.
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
Data Science Portfolio of Tatev Karen Aslanyan including Case Studies and Research Projects that I have completed that solve business problems or introduce new products. Case Study papers, codes, and ...
