Estimation of partially conditional average treatment effect by double kernel-covariate balancing
Author:
Affiliation:
1. Department of Statistics, Texas A&M University, College Station, TX 77843, USA
2. Department of Statistics, North Carolina State University, Raleigh, NC 27695, USA
3. Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
Publisher
Institute of Mathematical Statistics
Subject
Statistics and Probability,Statistics, Probability and Uncertainty
Reference49 articles.
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2. WAHBA, G. (1990). Spline models for observational data. SIAM.
3. HILL, J. L. (2011). Bayesian nonparametric modeling for causal inference. Journal of Computational and Graphical Statistics 20 217–240.
4. WAGER, S. and ATHEY, S. (2018). Estimation and inference of heterogeneous treatment effects using random forests. Journal of the American Statistical Association 113 1228–1242.
5. KOLTCHINSKII, V. (2011). Oracle Inequalities in Empirical Risk Minimization and Sparse Recovery Problems: Ecole d’Eté de Probabilités de Saint-Flour XXXVIII-2008 2033. Springer Science & Business Media.
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