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Found 5 papers, 0 papers with code
Quasi-Bayesian Estimation and Inference with Control Functions
We consider a quasi-Bayesian method that combines a frequentist estimation in the first stage and a Bayesian estimation/inference approach in the second stage.
Double Robust Bayesian Inference on Average Treatment Effects
We propose a double robust Bayesian inference procedure on the average treatment effect (ATE) under unconfoundedness.
Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness
Extensive experiments on well-known white- and black-box attacks show that MFDV-SNN achieves a significant improvement over existing methods, which indicates that it is a simple but effective method to improve model robustness.
Inference on Individual Treatment Effects in Nonseparable Triangular Models
In nonseparable triangular models with a binary endogenous treatment and a binary instrumental variable, Vuong and Xu (2017) established identification results for individual treatment effects (ITEs) under the rank invariance assumption.
Empirical Likelihood Covariate Adjustment for Regression Discontinuity Designs
In addition, the coverage accuracy of the RCEL confidence set is automatically robust against slight perturbation to the covariate balance condition, which may happen in cases such as data contamination and misspecified "unaffected" outcomes used as covariates.
