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Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control
In many real-world problems of real-time monitoring high-dimensional str...
09/24/2020 ∙ by Wanrong Zhang, et al. ∙
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An elementary approach for minimax estimation of Bernoulli proportion in the restricted parameter space
We present an elementary mathematical method to find the minimax estimat...
09/23/2020 ∙ by Heejune Sheen, et al. ∙
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Rapid Detection of Hot-spots via Tensor Decomposition with applications to Crime Rate Data
We propose an efficient statistical method (denoted as SSR-Tensor) to ro...
04/23/2020 ∙ by Yujie Zhao, et al. ∙
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Rapid Detection of Hot-spot by Tensor Decomposition with Application to Weekly Gonorrhea Data
In many bio-surveillance and healthcare applications, data sources are m...
01/31/2020 ∙ by Yujie Zhao, et al. ∙
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Robustness and Tractability for Non-convex M-estimators
We investigate two important properties of M-estimator, namely, robustne...
06/05/2019 ∙ by Ruizhi Zhang, et al. ∙
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Robust real-time monitoring of high-dimensional data streams
Robust real-time monitoring of high-dimensional data streams has many im...
06/05/2019 ∙ by Ruizhi Zhang, et al. ∙
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High Dimensional Process Monitoring Using Robust Sparse Probabilistic Principal Component Analysis
High dimensional data has introduced challenges that are difficult to ad...
04/20/2019 ∙ by Mohammad Nabhan, et al. ∙
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Differentially Private Change-Point Detection
The change-point detection problem seeks to identify distributional chan...
08/29/2018 ∙ by Rachel Cummings, et al. ∙
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Optimal Stopping for Interval Estimation in Bernoulli Trials
We propose an optimal sequential methodology for obtaining confidence in...
11/18/2017 ∙ by Tony Yaacoub, et al. ∙
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Search for Evergreens in Science: A Functional Data Analysis
Evergreens in science are papers that display a continual rise in annual...
04/30/2017 ∙ by Ruizhi Zhang, et al. ∙
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