Statistical Learning With Time Series Dependence: An Application to Scoring Sleep in Mice

DOI10.1080/01621459.2013.779838zbMath1288.62129OpenAlexW2005773605WikidataQ30570773 ScholiaQ30570773MaRDI QIDQ5406335

Blakeley B. McShane, Allan I. Pack, Shane T. Jensen, Abraham J. Wyner

Publication date: 1 April 2014

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3913289

zbMATH Keywords

classificationsequencesmachine learningcategoricalMarkovREM

Mathematics Subject Classification ID

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) Learning and adaptive systems in artificial intelligence (68T05) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10)

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Cites Work

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• Nonstationary hidden Markov model
• State duration modelling in hidden Markov models
• Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
• Variable length Markov chains
• Random forests

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