Sequential common change detection, isolation, and estimation in multiple poisson processes
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Publication:5089389
DOI10.1080/07474946.2022.2043054zbMath1493.62487OpenAlexW4285504245MaRDI QIDQ5089389
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Publication date: 19 July 2022
Published in: Sequential Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07474946.2022.2043054
Applications of statistics to biology and medical sciences; meta analysis (62P10) Sequential statistical analysis (62L10) Optimal stopping in statistics (62L15)
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- Efficient scalable schemes for monitoring a large number of data streams
- Sequential multi-sensor change-point detection
- Optimal sequential detection in multi-stream data
- Implicit renewal theory and tails of solutions of random equations
- Adaptive Poisson disorder problem
- Sequential analysis. Tests and confidence intervals
- Average run lengths of an optimal method of detecting a change in distribution
- Inference for change point and post change means after a CUSUM test.
- Common change-point estimation and changed panel isolation after sequential detection in an exponential family
- On false discovery control under dependence
- Asymptotically Optimal Quickest Change Detection in Distributed Sensor Systems
- Quickest Detection
- Optimal Detection of a Change Point in a Poisson Process for Different Observation Schemes
- Limit theorems for iterated random functions
- A combined SR-CUSUM procedure for detecting common changes in panel data
- Optimal Rates and Tradeoffs in Multiple Testing
- Estimation of common change point and isolation of changed panels after sequential detection
- Detection of Failure Rate Increases
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