Infinite hidden Markov models for multiple multivariate time series with missing data.

Hoskovec, Lauren; Koslovsky, Matthew D; Koehler, Kirsten; Good, Nicholas; Peel, Jennifer L; Volckens, John; Wilson, Ander

Hoskovec, Lauren; Koslovsky, Matthew D; Koehler, Kirsten; Good, Nicholas; Peel, Jennifer L; Volckens, John; Wilson, Ander.

Afiliación

Hoskovec L; Department of Statistics, Colorado State University, Fort Collins, Colorado, USA.
Koslovsky MD; Department of Statistics, Colorado State University, Fort Collins, Colorado, USA.
Koehler K; Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Good N; Department of Environmental and Radiological Health Sciences, Colorado State University, Colorado, USA.
Peel JL; Department of Environmental and Radiological Health Sciences, Colorado State University, Colorado, USA.
Volckens J; Department of Mechanical Engineering, Colorado State University, Colorado, USA.
Wilson A; Department of Statistics, Colorado State University, Fort Collins, Colorado, USA.

Biometrics ; 79(3): 2592-2604, 2023 09.

Article en En | MEDLINE | ID: mdl-35788984

Asunto(s)

Algoritmos; Modelos Estadísticos; Humanos; Teorema de Bayes; Factores de Tiempo; Interpretación Estadística de Datos; Simulación por Computador

Palabras clave

Bayesian inference; hidden Markov models; multiple imputation; multiple time series

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Modelos Estadísticos Tipo de estudio: Health_economic_evaluation Límite: Humans Idioma: En Revista: Biometrics Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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