Fast adaptive algorithms for abrupt change detection

DOI10.1007/s10994-009-5122-xzbMath1475.62232OpenAlexW2130044234MaRDI QIDQ1959580

Ankur Jain, Daniel Nikovski

Publication date: 7 October 2010

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-009-5122-x

zbMATH Keywords

CUSUMevent detectiondistribution monitoring

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Analysis of algorithms and problem complexity (68Q25) Non-Markovian processes: hypothesis testing (62M07)

Related Items (2)

An enhanced evaluation method of sequential probability ratio test ⋮ An ensemble method for concept drift in nonstationary environment

Cites Work

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• Minimax Methods for Multihypothesis Sequential Testing and Change-Point Detection Problems
• Streaming and sublinear approximation of entropy and information distances
• The Kolmogorov-Smirnov Test for Goodness of Fit
• CONTINUOUS INSPECTION SCHEMES
• The elements of statistical learning. Data mining, inference, and prediction

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