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pro vyhledávání: '"YI, GRACE Y."'
While crowdsourcing has emerged as a practical solution for labeling large datasets, it presents a significant challenge in learning accurate models due to noisy labels from annotators with varying levels of expertise. Existing methods typically esti
Externí odkaz:
http://arxiv.org/abs/2411.17113
Dynamic treatment regimes (DTRs) are sequences of functions that formalize the process of precision medicine. DTRs take as input patient information and output treatment recommendations. A major focus of the DTR literature has been on the estimation
Externí odkaz:
http://arxiv.org/abs/2402.12555
Autor:
Chen, Li-Pang1 (AUTHOR), Yi, Grace Y.2 (AUTHOR) gyi5@uwo.ca
Publikováno v:
PLoS ONE. 9/30/2024, Vol. 19 Issue 9, p1-20. 20p.
Publikováno v:
In Computational Statistics and Data Analysis June 2024 194
The human severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2), causing the COVID-19 disease, has continued to spread all over the world. It menacingly affects not only public health and global economics but also mental health and mood. While
Externí odkaz:
http://arxiv.org/abs/2106.15354
Measurement error is a pervasive issue which renders the results of an analysis unreliable. The measurement error literature contains numerous correction techniques, which can be broadly divided into those which aim to produce exactly consistent esti
Externí odkaz:
http://arxiv.org/abs/2106.07401
Autor:
Zhang, Qihuang, Yi, Grace Y.
Autoregressive (AR) models are useful tools in time series analysis. Inferences under such models are distorted in the presence of measurement error, which is very common in practice. In this article, we establish analytical results for quantifying t
Externí odkaz:
http://arxiv.org/abs/2008.05649