Online multivariate changepoint detection with type I error control and constant time/memory updates per series
From MaRDI portal
Publication:2070620
DOI10.1016/j.spl.2021.109258zbMath1478.62255OpenAlexW3202752083MaRDI QIDQ2070620
Publication date: 24 January 2022
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2021.109258
Nonparametric hypothesis testing (62G10) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Sequential statistical analysis (62L10) Paired and multiple comparisons; multiple testing (62J15)
Uses Software
Cites Work
- Unnamed Item
- Efficient scalable schemes for monitoring a large number of data streams
- Sequential multi-sensor change-point detection
- Optimal sequential detection in multi-stream data
- Detecting simultaneous variant intervals in aligned sequences
- Detection of intrusions in information systems by sequential change-point methods
- Break detection in the covariance structure of multivariate time series models
- Online rules for control of false discovery rate and false discovery exceedance
- BayesProject: fast computation of a projection direction for multivariate changepoint detection
- High-dimensional change-point estimation: combining filtering with convex optimization
- Extensions of some classical methods in change point analysis
- Detecting simultaneous changepoints in multiple sequences
- MMCTest-A Safe Algorithm for Implementing Multiple Monte Carlo Tests
- α-Investing: a Procedure for Sequential Control of Expected False Discoveries
- High Dimensional Change Point Estimation via Sparse Projection
- A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data
- Generalized α-investing: Definitions, Optimality Results and Application to Public Databases
- CONTINUOUS INSPECTION SCHEMES
This page was built for publication: Online multivariate changepoint detection with type I error control and constant time/memory updates per series