Real Time Anomaly Detection And Categorisation
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Publication:119893
DOI10.48550/arXiv.2009.06670zbMath1490.62014arXiv2009.06670OpenAlexW3086253642MaRDI QIDQ119893
Lawrence Bardwell, Alexander T. M. Fisch, Idris Eckley, Idris A. Eckley, Alexander T. M. Fisch, Lawrence Bardwell
Publication date: 14 September 2020
Published in: Statistics and Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2009.06670
Computational methods for problems pertaining to statistics (62-08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10)
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Cites Work
- A MOSUM procedure for the estimation of multiple random change points
- Bayesian detection of abnormal segments in multiple time series
- Robust Kalman tracking and smoothing with propagating and non-propagating outliers
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- Optimal Detection of Changepoints With a Linear Computational Cost
- Subset Multivariate Collective and Point Anomaly Detection
- Changepoint Detection in the Presence of Outliers
- Circular binary segmentation for the analysis of array-based DNA copy number data
- Simultaneous discovery of rare and common segment variants
- Procedures for Reacting to a Change in Distribution
- CONTINUOUS INSPECTION SCHEMES
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