We develop a class of regression-based estimators, called Principal Components Difference-in-Differences (PCDID) estimators, for treatment effect estimation. Analogous to a control function approach,

Taylor & Francis Group2022-06-14 更新70

Importance Sampling for Reliability Evaluation With Stochastic Simulation Models

随机模拟

可靠性评估

Importance sampling has been used to improve the efficiency of simulations where the simulation output is uniquely determined, given a fixed input. We extend the theory of importance sampling to estim

DataCite Commons2024-03-24 更新130

Local Gaussian process extrapolation for BART models with applications to causal inference

回归模型

因果推断

Bayesian additive regression trees (BART) is a semi-parametric regression model offering state-of-the-art performance on out-of-sample prediction. Despite this success, standard implementations of BAR

DataCite Commons2023-07-26 更新90

Data for: A causal perspective on reliability assessment

资源简介：

相关数据集