Hot-spots detection in count data by Poisson assisted smooth sparse tensor decomposition
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Publication:6063317
DOI10.1080/02664763.2022.2112557arXiv2205.10447WikidataQ114100820 ScholiaQ114100820MaRDI QIDQ6063317
Xiaoming Huo, Yujie Zhao, Yajun Mei
Publication date: 7 November 2023
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2205.10447
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Cites Work
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- Tensor Decompositions and Applications
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- Order thresholding
- Proximal algorithms in statistics and machine learning
- Some nondegenerate limit laws for the selection differential
- Instrument search in pseudo-likelihood approach for nonignorable nonresponse
- A Space-Time Scan Statistic for Detecting Emerging Outbreaks
- Multivariate Statistical Process Control Using LASSO
- A spatial scan statistic
- Scalable SUM-Shrinkage Schemes for Distributed Monitoring Large-Scale Data Streams
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- Prospective Time Periodic Geographical Disease Surveillance Using a Scan Statistic
- Semiparametric inference for estimating equations with nonignorably missing covariates
- Procedures for Reacting to a Change in Distribution
- Semiparametric likelihood for estimating equations with non-ignorable non-response by non-response instrument
- On Information and Sufficiency
- CONTINUOUS INSPECTION SCHEMES
- Pseudo likelihood and dimension reduction for data with nonignorable nonresponse
- The elements of statistical learning. Data mining, inference, and prediction
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