Asymptotic statistical properties of communication-efficient quickest detection schemes in sensor networks
DOI10.1080/07474946.2018.1548849zbMath1431.62337OpenAlexW2918444091MaRDI QIDQ4632468
Publication date: 29 April 2019
Published in: Sequential Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07474946.2018.1548849
high-dimensional dataasymptotic optimalityfalse alarm ratechange pointdetection delaydynamical analysis of statistical data
Nonparametric hypothesis testing (62G10) Censored data models (62N01) Stopping times; optimal stopping problems; gambling theory (60G40) Detection theory in information and communication theory (94A13) Optimal stopping in statistics (62L15) Statistical aspects of big data and data science (62R07)
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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
- Detection of intrusions in information systems by sequential change-point methods
- Sequential analysis. Tests and confidence intervals
- 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
- Large-Scale Multi-Stream Quickest Change Detection via Shrinkage Post-Change Estimation
- Modern statistical estimation via oracle inequalities
- Sequential Change-Point Detection Procedures That are Nearly Optimal and Computationally Simple
- Information Bounds and Quickest Change Detection in Decentralized Decision Systems
- Asymptotic Performance of a Censoring Sensor Network
- On the Best 2-CUSUM Stopping Rule for Quickest Detection of Two-Sided Alternatives in a Brownian Motion Model
- Ideal spatial adaptation by wavelet shrinkage
- Test of Significance When Data Are Curves
- Decentralized quickest change detection
- Data-Efficient Quickest Change Detection in Sensor Networks
- Quickest Change Detection and Kullback-Leibler Divergence for Two-State Hidden Markov Models
- Scalable SUM-Shrinkage Schemes for Distributed Monitoring Large-Scale Data Streams
- Prospective Time Periodic Geographical Disease Surveillance Using a Scan Statistic
- On Optimum Methods in Quickest Detection Problems
- Asymptotically Optimum Sequential Inference and Design
- Procedures for Reacting to a Change in Distribution
- CONTINUOUS INSPECTION SCHEMES
- Scan statistics
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