Infinite Hidden Markov Models for Multiple Multivariate Time Series with Missing Data
Infinite Hidden Markov Models for Multiple Multivariate Time Series with Missing Data
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Washington: Blackwell Publishing Ltd
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Language
English
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Publisher
Washington: Blackwell Publishing Ltd
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Exposure to air pollution is associated with increased morbidity and mortality. Recent technological advancements permit the collection of time-resolved personal exposure data. Such data are often incomplete with missing observations and exposures below the limit of detection, which limit their use in health effects studies. In this paper, we devel...
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Full title
Infinite Hidden Markov Models for Multiple Multivariate Time Series with Missing Data
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TN_cdi_proquest_miscellaneous_2685033373
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2685033373
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ISSN
0006-341X,1541-0420
E-ISSN
1541-0420
DOI
10.1111/biom.13715
