Open AccessDoubly Robust Prediction and Evaluation Methods Improve Uplift Modeling for Observational Data
Author(s) -
Yuta Saito,
Hayato Sakata,
Kazuhide Nakata
Publication year - 2019
Publication title -
society for industrial and applied mathematics ebooks
Language(s) - English
Resource type - Book series
DOI - 10.1137/1.9781611975673.53
Subject(s) - causal inference , observational study , proxy (statistics) , estimator , propensity score matching , computer science , unobservable , outcome (game theory) , average treatment effect , econometrics , randomized experiment , inference , machine learning , artificial intelligence , data mining , statistics , mathematics , mathematical economics
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