S3T: A score statistic for spatiotemporal change point detection

DOI10.1080/07474946.2020.1826796zbMath1461.62134arXiv1706.05331OpenAlexW3124377368MaRDI QIDQ4965666

Junzhuo Chen, Seong-Hee Kim, Yao Xie

Publication date: 9 March 2021

Published in: Sequential Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1706.05331

zbMATH Keywords

change point detectionscore statisticsfalse alarm controlspatiotemporal data analysis

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Nonparametric hypothesis testing (62G10) Applications of statistics to environmental and related topics (62P12) Statistics of extreme values; tail inference (62G32) Sequential statistical analysis (62L10)

Related Items

Online score statistics for detecting clustered change in network point processes ⋮ Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection

Uses Software

• SWMM5

Cites Work

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