Open michaelchughes opened 5 years ago
Ch. 8: Tree-based methods Textbook: An Introduction to Statistical Learning James, Witten, Hastie, and R. Tibshirani http://faculty.marshall.usc.edu/gareth-james/ISL/ISLR%20Seventh%20Printing.pdf
Ch. 15: Random forests Textbook: The Elements of Statistical Learning Hastie, R. Tibshirani and Friedman https://web.stanford.edu/~hastie/ElemStatLearn/
Random forests Journal article Leo Breiman https://www.stat.berkeley.edu/~breiman/randomforest2001.pdf
Generalized Random Forests Athey, J. Tibshirani, and Wager https://arxiv.org/pdf/1610.01271.pdf
Recursive partitioning for heterogeneous causal effects Athey and Imbens https://www.pnas.org/content/113/27/7353
Estimation and Inference of HTE using Random Forests Wager and Athey https://www.tandfonline.com/doi/full/10.1080/01621459.2017.1319839
First, you can learn about decision trees and random forests
Ch. 8: Tree-based methods Textbook: An Introduction to Statistical Learning James, Witten, Hastie, and R. Tibshirani http://faculty.marshall.usc.edu/gareth-james/ISL/ISLR%20Seventh%20Printing.pdf
Dive deep into random forests
Ch. 15: Random forests Textbook: The Elements of Statistical Learning Hastie, R. Tibshirani and Friedman https://web.stanford.edu/~hastie/ElemStatLearn/
Random forests Journal article Leo Breiman https://www.stat.berkeley.edu/~breiman/randomforest2001.pdf
Generalized random forests
Generalized Random Forests Athey, J. Tibshirani, and Wager https://arxiv.org/pdf/1610.01271.pdf
Recursive partitioning for heterogeneous causal effects Athey and Imbens https://www.pnas.org/content/113/27/7353
Estimation and Inference of HTE using Random Forests Wager and Athey https://www.tandfonline.com/doi/full/10.1080/01621459.2017.1319839