no code implementations • 9 Apr 2024 • Eric Auerbach, Yong Cai, Ahnaf Rafi
Under the assumption that spillovers are linear-in-means, we show that the estimand depends on the ratio of two terms: (1) the radius over which spillovers occur and (2) the choice of bandwidth used for the local linear regression.
no code implementations • 25 Mar 2024 • Xinyuan Ji, Zhaowei Zhu, Wei Xi, Olga Gadyatskaya, Zilong Song, Yong Cai, Yang Liu
The high loss incurred by client-specific samples in heterogeneous label noise poses challenges for distinguishing between client-specific and noisy label samples, impacting the effectiveness of existing label noise learning approaches.
1 code implementation • 26 Jun 2023 • Eric Auerbach, Yong Cai
Social disruption occurs when a policy creates or destroys many network connections between agents.
1 code implementation • 25 Jun 2023 • Wenbo Zhang, Tong Wu, Yunlong Wang, Yong Cai, Hengrui Cai
With recent advances in natural language processing, rationalization becomes an essential self-explaining diagram to disentangle the black box by selecting a subset of input texts to account for the major variation in prediction.
no code implementations • 18 Oct 2022 • Yong Cai
(2) We develop distributional theory for OLS estimators under measurement error and sparsity, finding that OLS estimators are subject to asymptotic bias even when they are consistent.
no code implementations • 11 Jul 2022 • Luning Bi, Yunlong Wang, Fan Zhang, Zhuqing Liu, Yong Cai, Emily Zhao
In the past decade, with the development of big data technology, an increasing amount of patient information has been stored as electronic health records (EHRs).
no code implementations • 9 Jun 2022 • Yong Cai, Ahnaf Rafi
The Neyman Allocation is used in many papers on experimental design, which typically assume that researchers have access to large pilot studies.
1 code implementation • 2 May 2022 • Eric Auerbach, Yong Cai
We then propose a new matrix analog of quantile treatment effects that is given by a difference in the eigenvalues.
no code implementations • 11 Nov 2021 • Yong Cai, Santiago Camara, Nicholas Capel
This paper introduces a transparent framework to identify the informational content of FOMC announcements.
no code implementations • 10 Jun 2021 • Yong Cai
We show that our procedure recovers the true clusters with high probability with no assumptions on the cluster structure.
no code implementations • 3 May 2021 • Yong Cai
However, a researcher that has chosen to cluster at the county level may be unsure of their decision, given knowledge that observations are independent across states.
no code implementations • 2 Mar 2021 • Yong Cai
Second, we provide a simple theoretical counterexample to show that the sign test over-rejects when the data exhibits correlation.
no code implementations • 17 Feb 2021 • Yong Cai, Ivan A. Canay, Deborah Kim, Azeem M. Shaikh
This paper provides a user's guide to the general theory of approximate randomization tests developed in Canay, Romano, and Shaikh (2017) when specialized to linear regressions with clustered data.
no code implementations • 1 Jul 2019 • Kezi Yu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun
Rare diseases affecting 350 million individuals are commonly associated with delay in diagnosis or misdiagnosis.
no code implementations • 1 Jul 2019 • Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun
Many computational models were proposed to extract temporal patterns from clinical time series for each patient and among patient group for predictive healthcare.
no code implementations • 3 Dec 2018 • Wenyuan Li, Yunlong Wang, Yong Cai, Corey Arnold, Emily Zhao, Yilian Yuan
Rare diseases affect a relatively small number of people, which limits investment in research for treatments and cures.
no code implementations • 19 Jan 2017 • Yong Cai, Yunlong Wang, Dong Dai
For a specified rare disease, only a small number of patients are affected and a fractional of physicians are involved.