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Continuous blood glucose monitoring: A Bayes-hidden Markov approach

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Publication:2864546
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DOI10.5705/ss.2012.070szbMath1417.62308OpenAlexW2330840302MaRDI QIDQ2864546

Tingni Sun, Cun-Hui Zhang, Lawrence A. Shepp, Lee H. Dicker, D. Barry Keenan

Publication date: 25 November 2013

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/01442a0614c80850f046dbbe4c37b6b239e19bba


zbMATH Keywords

Kalman filteringsequential methodsnonparametric empirical Bayesdiabetes technology


Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Empirical decision procedures; empirical Bayes procedures (62C12) Markov processes: hypothesis testing (62M02)


Related Items (1)

Approximate nonparametric maximum likelihood for mixture models: a convex optimization approach to fitting arbitrary multivariate mixing distributions




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