Pages that link to "Item:Q4962082"

The following pages link to Approximate Residual Balancing: Debiased Inference of Average Treatment Effects in High Dimensions (Q4962082):

Displaying 50 items.

• Propensity score weighting for causal inference with multiple treatments (Q93141) (← links)
• Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data (Q133315) (← links)
• Estimation of average treatment effects with panel data: asymptotic theory and implementation (Q506048) (← links)
• General balance, large data sets and extensions to unbalanced treatment structures (Q956760) (← links)
• Covariate balancing propensity score by tailored loss functions (Q1731067) (← links)
• Doubly robust treatment effect estimation with missing attributes (Q2044265) (← links)
• Continuous treatment effect estimation via generative adversarial de-confounding (Q2066652) (← links)
• Augmented minimax linear estimation (Q2073703) (← links)
• A convex programming solution based debiased estimator for quantile with missing response and high-dimensional covariables (Q2076131) (← links)
• Recent advances in statistical methodologies in evaluating program for high-dimensional data (Q2132738) (← links)
• Estimation of partially conditional average treatment effect by double kernel-covariate balancing (Q2168086) (← links)
• Estimating causal effects with optimization-based methods: a review and empirical comparison (Q2171584) (← links)
• Estimating dynamic treatment effects in event studies with heterogeneous treatment effects (Q2236891) (← links)
• Difference-in-differences with variation in treatment timing (Q2236895) (← links)
• Double machine learning with gradient boosting and its application to the Big \(N\) audit quality effect (Q2305992) (← links)
• High-dimensional confounding adjustment using continuous Spike and Slab priors (Q2316985) (← links)
• Overlap in observational studies with high-dimensional covariates (Q2658764) (← links)
• The costs and benefits of uniformly valid causal inference with high-dimensional nuisance parameters (Q2684684) (← links)
• Complex discontinuity designs using covariates: impact of school grade retention on later life outcomes in Chile (Q2686018) (← links)
• Estimation of mean response via the effective balancing score (Q3191469) (← links)
• Debiased Inference on Treatment Effect in a High-Dimensional Model (Q3304865) (← links)
• Generalized Optimal Matching Methods for Causal Inference (Q4969111) (← links)
• Bias and High-Dimensional Adjustment in Observational Studies of Peer Effects (Q4999123) (← links)
• Using Machine Learning Methods to Support Causal Inference in Econometrics (Q5015913) (← links)
• (Q5053279) (← links)
• Generalised regression estimators for average treatment effect with multicollinearity in high-dimensional covariates (Q5078829) (← links)
• Robust estimation of causal effects via a high-dimensional covariate balancing propensity score (Q5127204) (← links)
• Robust inference on the average treatment effect using the outcome highly adaptive lasso (Q5128778) (← links)
• Kernel Balancing: A flexible non-parametric weighting procedure for estimating causal effects (Q5134472) (← links)
• Robust Inference Using Inverse Probability Weighting (Q5146038) (← links)
• (Q5381132) (← links)
• (Q5879928) (← links)
• The Augmented Synthetic Control Method (Q5881963) (← links)
• Evaluating multiple surrogate markers with censored data (Q6055488) (← links)
• Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties (Q6055532) (← links)
• Improving Trial Generalizability Using Observational Studies (Q6055870) (← links)
• Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference (Q6089884) (← links)
• Semiparametric estimation of long-term treatment effects (Q6090606) (← links)
• Large Sample Properties of Matching for Balance (Q6092946) (← links)
• Hospital quality risk standardization via approximate balancing weights (Q6104081) (← links)
• Treatment Effect Estimation Under Additive Hazards Models With High-Dimensional Confounding (Q6107211) (← links)
• Varying impacts of letters of recommendation on college admissions (Q6138603) (← links)
• Locally Robust Semiparametric Estimation (Q6181688) (← links)
• Projected state-action balancing weights for offline reinforcement learning (Q6183753) (← links)
• Reweighted nonparametric likelihood inference for linear functionals (Q6184890) (← links)
• Model-Assisted Inference for Covariate-Specific Treatment Effects with High-dimensional Data (Q6185139) (← links)
• Using Wasserstein generative adversarial networks for the design of Monte Carlo simulations (Q6199647) (← links)
• A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees (Q6369049) (← links)
• Causality in econometrics: choice vs chance (Q6536492) (← links)
• Causal effect estimation for multivariate continuous treatments (Q6563666) (← links)