19 citations · 19 across the 6 of their papers we have counts for
6 papers
Adaptive sample splitting for randomization tests
Yao Zhang, Zijun Gao
Randomization tests are widely used to generate finite-sample valid -values for causal inference on experimental data. However, when applied to subgroup analysis, these tests ma…
Posterior Conformal Prediction
Yao Zhang, Emmanuel J. Candès
Conformal prediction is a popular technique for constructing prediction intervals with distribution-free coverage guarantees. The coverage is marginal, meaning it only holds on ave…
Bayesian CART models for aggregate claim modeling
Yaojun Zhang, Lanpeng Ji, Georgios Aivaliotis +1
This paper proposes three types of Bayesian CART (or BCART) models for aggregate claim amount, namely, frequency-severity models, sequential models and joint models. We propose a g…
An average-case sensitivity analysis for unmeasured confounding
Yao Zhang, Qingyuan Zhao
Sensitivity analysis for the unconfoundedness assumption is crucial in observational studies. For this purpose, the marginal sensitivity model gained popularity recently due to goo…
What is a randomization test?
Yao Zhang, Qingyuan Zhao
The meaning of randomization tests has become obscure in statistics education and practice over the last century. This article makes a fresh attempt at rectifying this core concept…
Multiple conditional randomization tests for lagged and spillover treatment effects
Yao Zhang, Qingyuan Zhao
We consider the problem of constructing multiple independent conditional randomization tests using a single dataset. Because the tests are independent, the randomization p-values c…