Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Duan Boyan"'
Publikováno v:
Journal of Causal Inference, Vol 12, Iss 1, Pp 136-96 (2024)
Out of the participants in a randomized experiment with anticipated heterogeneous treatment effects, is it possible to identify which subjects have a positive treatment effect? While subgroup analysis has received attention, claims about individual p
Externí odkaz:
https://doaj.org/article/9bc05285a4b249f0b23502c3519a27d1
We say two partial orders on $[n]$ are compatible if there exists a partial order finer than both of them. Under the relation of compatibility, the set of all partial orders $\mathcal{F}$ and the set of all total orders $\mathcal{G}$ on $[n]$ can def
Externí odkaz:
http://arxiv.org/abs/2412.06402
Autor:
Duan, Boyan, Wu, Yanyan, Xie, Shanyu, Hong, Tao, Yang, Yuanfan, Zheng, Mingjing, Jiang, Zedong, Zhu, Yanbing, Li, Qingbiao, Ni, Hui, Wang, Yuanpeng, Du, Xiping, Li, Zhipeng
Publikováno v:
In Bioresource Technology January 2025 416
Suppose we observe a random vector $X$ from some distribution $P$ in a known family with unknown parameters. We ask the following question: when is it possible to split $X$ into two parts $f(X)$ and $g(X)$ such that neither part is sufficient to reco
Externí odkaz:
http://arxiv.org/abs/2112.11079
Out of the participants in a randomized experiment with anticipated heterogeneous treatment effects, is it possible to identify which subjects have a positive treatment effect? While subgroup analysis has received attention, claims about individual p
Externí odkaz:
http://arxiv.org/abs/2102.10778
In order to test if a treatment is perceptibly different from a placebo in a randomized experiment with covariates, classical nonparametric tests based on ranks of observations/residuals have been employed (eg: by Rosenbaum), with finite-sample valid
Externí odkaz:
http://arxiv.org/abs/2009.05892
We propose a method for multiple hypothesis testing with familywise error rate (FWER) control, called the i-FWER test. Most testing methods are predefined algorithms that do not allow modifications after observing the data. However, in practice, anal
Externí odkaz:
http://arxiv.org/abs/2002.08545
Autor:
Duan, Boyan, Ling, Canwei, Wang, Xin, Lin, Qiaoyan, Jiang, Zedong, Zhu, Yanbing, Li, Qingbiao, Ni, Hui, Wang, Yuanpeng, Du, Xiping, Li, Zhipeng
Publikováno v:
In Process Biochemistry January 2024 136:128-135
Publikováno v:
Electronic Journal of Statistics 14 (2020) 4489-4551
Global null testing is a classical problem going back about a century to Fisher's and Stouffer's combination tests. In this work, we present simple martingale analogs of these classical tests, which are applicable in two distinct settings: (a) the on
Externí odkaz:
http://arxiv.org/abs/1909.07339
The cross-sensor gap is one of the challenges that have aroused much research interests in Heterogeneous Face Recognition (HFR). Although recent methods have attempted to fill the gap with deep generative networks, most of them suffer from the inevit
Externí odkaz:
http://arxiv.org/abs/1909.04365