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"Bayesian structural time series for biomedical sensor data: A flexible ..."

Jason Liu et al. (2021)

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DOI: 10.1371/JOURNAL.PCBI.1009303

access: open

type: Journal Article

metadata version: 2024-04-29

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  dblp key:
  - journals/ploscb/LiuSAHAZLLZPGSN21
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  - https://dblp.org/rec/journals/ploscb/LiuSAHAZLLZPGSN21
Jason Liu, Daniel J. Spakowicz, Garrett I. Ash, Rebecca Hoyd, Rohan Ahluwalia, Andrew Zhang, Shaoke Lou, Donghoon Lee, Jing Zhang, Carolyn Presley, Ann Greene, Matthew Stults-Kolehmainen, Laura M. Nally, Julien S. Baker, Lisa M. Fucito, Stuart A. Weinzimer, Andrew V. Papachristos, Mark Gerstein:
Bayesian structural time series for biomedical sensor data: A flexible modeling framework for evaluating interventions. PLoS Comput. Biol. 17(8) (2021)

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