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Pattern Detection in Intensive Care Monitoring Time Series with Autoregressive Models: Influence of the Model Order

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Publication:5121867
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DOI<746::AID-BIMJ746>3.0.CO;2-2 10.1002/1521-4036(200209)44:6<746::AID-BIMJ746>3.0.CO;2-2zbMath1441.62377OpenAlexW2104896002MaRDI QIDQ5121867

Marcus Bauer, Michael Imhoff, Roland Fried, Ursula Gather

Publication date: 22 September 2020

Full work available at URL: https://doi.org/10.1002/1521-4036(200209)44:6<746::aid-bimj746>3.0.co;2-2


zbMATH Keywords

time series analysisautoregressive modelspattern detectionmodel orderhemodynamic online monitoring


Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)


Related Items (5)

Robust control charts for the mean of a locally linear time series ⋮ Individualized Dynamic Patient Monitoring Under Alarm Fatigue ⋮ Online signal extraction by robust linear regression ⋮ Control charts for the mean based on robust two-sample tests ⋮ On the robust detection of edges in time series filtering




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