Asymptotic optimality theory for active quickest detection with unknown postchange parameters
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Publication:6166463
DOI10.1080/07474946.2023.2187417MaRDI QIDQ6166463
Publication date: 6 July 2023
Published in: Sequential Analysis (Search for Journal in Brave)
Cites Work
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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
- Optimal detection of a change in distribution
- Optimal stopping times for detecting changes in distributions
- Average run lengths of an optimal method of detecting a change in distribution
- Adaptive treatment allocation and the multi-armed bandit problem
- Large-Scale Multi-Stream Quickest Change Detection via Shrinkage Post-Change Estimation
- Parametric Statistical Change Point Analysis
- Sequential Change-Point Detection Procedures That are Nearly Optimal and Computationally Simple
- On the Best 2-CUSUM Stopping Rule for Quickest Detection of Two-Sided Alternatives in a Brownian Motion Model
- Scalable SUM-Shrinkage Schemes for Distributed Monitoring Large-Scale Data Streams
- On the Detection of Disorder in a Manufacturing Process. I.
- Optimum Multi-Stream Sequential Change-Point Detection With Sampling Control
- Estimation of common change point and isolation of changed panels after sequential detection
- Asymptotic distribution-free change-point detection based on interpoint distances for high-dimensional data
- Sequential Hypothesis Test With Online Usage-Constrained Sensor Selection
- Procedures for Reacting to a Change in Distribution
- CONTINUOUS INSPECTION SCHEMES
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