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Title (A-Z) Title (Z-A) Date (Ascending) Date (Descending)
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Miniature of Semiparametric Estimation of Treatment Effects in Randomized Experiments
Semiparametric Estimation of Treatment Effects in Randomized Experiments
  • GSB Authors: Susan Athey | Guido Imbens
  • Date: 2021-09-01
  • Publication Type: Working Papers
Miniature of Local Linear Forests
Local Linear Forests
  • GSB Authors: Susan Athey | Stefan Wager
  • Date: 2018-07-30
  • Publication Type: Working Papers
Miniature of When Should You Adjust Standard Errors for Clustering?
When Should You Adjust Standard Errors for Clustering?
  • GSB Authors: Susan Athey | Guido Imbens
  • Date: 2017-10-09
  • Publication Type: Working Papers
Miniature of Sampling-Based Vs. Design-Based Uncertainty in Regression Analysis
Sampling-Based Vs. Design-Based Uncertainty in Regression Analysis
  • GSB Authors: Susan Athey | Guido Imbens
  • Date: 2017-06-06
  • Publication Type: Working Papers
Miniature of Solving Heterogeneous Estimating Equations with Gradient Forests
Solving Heterogeneous Estimating Equations with Gradient Forests
  • GSB Authors: Susan Athey | Stefan Wager
  • Date: 2016-10-05
  • Publication Type: Working Papers
Miniature of Generalized Random Forests
Generalized Random Forests
  • GSB Authors: Susan Athey | Stefan Wager
  • Date: 2016-10-05
  • Publication Type: Working Papers
Miniature of Efficient Inference of Average Treatment Effects in High Dimensions via Approximate Residual Balancing
Efficient Inference of Average Treatment Effects in High Dimensions via Approximate Residual Balancing
  • GSB Authors: Susan Athey | Guido Imbens | Stefan Wager
  • Date: 2016-04-25
  • Publication Type: Working Papers
Miniature of Estimation and Inference of Heterogeneous Treatment Effects Using Random Forests
Estimation and Inference of Heterogeneous Treatment Effects Using Random Forests
  • GSB Authors: Susan Athey
  • Date: 2015-10-14
  • Publication Type: Working Papers
Miniature of Propensity Score Matching and Subclassification in Observational Studies with Multi-Level Treatments
Propensity Score Matching and Subclassification in Observational Studies with Multi-Level Treatments
  • GSB Authors: Guido Imbens
  • Date: 2015-08-27
  • Publication Type: Working Papers

9 Working Papers

9 Economics

9 mathematics 9 statistical methods and inference 9 statistics 9 statistics and probability 7 advanced causal inference techniques 7 computer science 7 econometrics 6 artificial intelligence 6 statistical methods and bayesian inference 5 inference 5 medicine 4 economics 4 estimator 3 applied mathematics 3 average treatment effect 3 kernel regression 3 mathematical optimization 3 parametric statistics 3 random forest 3 sample size determination 2 algorithm 2 causal inference 2 chemistry 2 chromatography 2 combinatorics 2 computer vision 2 convergence (economics) 2 covariate 2 curse of dimensionality 2 demography 2 economic growth 2 filter (signal processing) 2 kernel (algebra) 2 machine learning 2 mathematical analysis 2 population 2 potential outcomes 2 propensity score matching 2 radiology 2 regression 2 sample (material) 2 sampling (signal processing) 2 sociology 2 statistical methods in clinical trials 2 traditional medicine 2 treatment effect 2 weighting 1 accounting 1 aerospace engineering 1 central limit theorem 1 cluster (spacecraft) 1 cluster analysis 1 cluster sampling 1 data mining 1 dimension (graph theory) 1 engineering 1 estimating equations 1 estimation 1 gaussian 1 generalized propensity score 1 health systems, economic evaluations, quality of life 1 internal medicine 1 limit (mathematics) 1 management 1 matching 1 matching (statistics) 1 multi-level treatments 1 nonparametric statistics 1 observational study 1 physics 1 pointwise 1 programming language 1 propensity score 1 pure mathematics 1 quantile 1 quantum mechanics 1 randomized controlled trial 1 range (aeronautics) 1 regression analysis 1 residual 1 sampling design 1 semiparametric model 1 smoothness 1 sparse estimation 1 standard error 1 statistical inference 1 subclassification 1 unconfoundedness 1 variance (accounting)