resource of casual inference

• 1.Book
• 2.Course/Seminar/Video
  • 2.1 Course
  • 2.2 Seminar
• 3.Expert
• 4.Library
• 5.Paper
• Reference
  • Statistics

因果革命 | The Book of Why - Judea Pearl ; 2019.

Causal Inference for Statistics, Social, and Biomedical. Sciences: An Introduction. Guido W. Imbens and. Donald B. Rubin.

Judea Pearl [Website] - Prof. @UCLA. Probabilistic and causal reasoning, create the causaul diagrams to research casual effect.

Peng Ding[Website] - Prof. @UC Berkley. Causal Inference.

Brady Neal [Website] - Phd student in causal inference and machine learning at Mila - Quebec AI Institute , co-advised by Ioannis Mitliagkas and Yoshua Bengio. (2020)

Mainly listed python package.

dowhy : An end to end library for casual inference. I think this could be a little not flexible to deal with the specific data format and need to spend more time to research it. @Microsoft

causalml : A Python Package for Uplift Modeling and Causal Inference with ML. @Uber

statsmodels : statsmodels.tsa.statespace contains classes and functions that are useful for time series analysis using state space methods.

awesome-causality-algorithms : updated papers/datasets in this repo.

醫學統計學筆記 [GitBook] - 統計筆記, bayesian statistics (94-103), causal inference (106-112)

看見統計 [Website] - 統計推斷, 貝葉斯學派.

因果推斷學習筆記 [Blog] - Yishi Lin.

Capital of Statistics [Blog] - 因果推斷簡介系列文