Selection of a stroke risk model based on transcranial Doppler ultrasound velocity

DOI10.1080/02664763.2012.725463OpenAlexW1976421608MaRDI QIDQ5127131

No author found.

Publication date: 21 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2012.725463

zbMATH Keywords

optimizationGibbs samplingDantzig selectorstochastic search variable selectionparallel genetic algorithmsickle cell disease

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Variable selection for varying dispersion beta regression model

Uses Software

• SAS

Cites Work

• Unnamed Item
• Unnamed Item
• Analysis of supersaturated designs via the Dantzig selector
• Estimating the dimension of a model
• The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
• Regression and time series model selection in small samples
• Some Comments on C P
• A new look at the statistical model identification

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