Causal Inference
Credit to J. Josse, J. Peters, B. Neal, E. Devijver, E. Gaussier, C. Assaad
Credit to J. Josse, J. Peters, B. Neal, E. Devijver, E. Gaussier, C. Assaad
Exam
Some interesting material
A website with a course on causality
A textbook of Stanford University
Some Python notebooks with explanations
Survival analysis with competing risks
Lecture 9
dataset : diabets_nutition.csv
An industrial dataset : data_clean.csv
Details and preprocessing : ess_dataset.ipynb, ess_causal.ipynb
Tutorial Tigramite : basic.ipynb
Lecture 8
Course 8
Course 8 : Course 8.pdf
Notebook : Course8.ipynb
Lab 8
Lecture 7
Course 7
Course 7 : Course7.pdf
Notebooks : Lecture7.ipynb
An example of mechanisms generating missing values
A paper extending the PC algorithm
A first paper and a second paper extending noise based methods
Lab 7
Add background knowledge in causallearn
The sachs dataset
Lecture 6
Course 6
Course 6 : Course6.pdf
Notebooks : Lecture6a.ipynb, Lecture6b.ipynb
An interesting github
Another interesting github
Lab 6
Dataset : Folder
Lecture 5
Course 5
Course 5 : Course5.pdf.
A website about Mutual Information.
A github
Kernel tests : the paper of Gretton
Lab5_empty.ipynb, data : df_causal_discovery.p extraction from the UCI ML repository of the census dataset
Lecture 4
Course 4
Course 4: Course4.pdf
Notebook : Lecture4a.ipynb, Lecture 4b.ipynb
Dataset : hotel_booking.csv
Lab 4
Lecture 3
Course 3
Course 3: Course3.pdf
Notebook : Lecture3a.ipynb, Lecture3b.ipynb, Lecture3c.ipynb
Lab 3
Lecture 2
Course 2
Course 2 : Course2.pdf
Notebooks of Course 2 : Course2a.ipynb, Course2b.ipynb, Course2c.ipynb
Datasets : learning_mindset.csv, heart_failure.csv
Lab 2
Lab 2 : Lab2.pdf . Notebook : Lab2_empty.ipynb, Lab2_correction.ipynb
Lecture 1
Course 1
Course 1 : Course1.pdf
Notebooks of Course 1 : Course1a.ipynb, Course1b.ipynb. Dataset : village.csv
Lab 1
Lab1 : Lab1.pdf
Notebook of Lab1 : Lab1_empty.ipynb, Lab1Ex1.ipynb, Lab1Ex2.ipynb
Dataset : STAR.csv