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Predicting COVID-19 hospitalisation using a mixture of Bayesian predictive syntheses - MaRDI portal

Predicting COVID-19 hospitalisation using a mixture of Bayesian predictive syntheses

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Publication:6665519

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DOI10.1214/24-aoas1941MaRDI QIDQ6665519

Dongu Han, Yuki Kawakubo, Genya Kobayashi, Shonosuke Sugasawa, Taeryon Choi

Publication date: 17 January 2025

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

zbMATH Keywords

clustering Markov chain Monte Carlo count data finite mixture model state space model dynamic factor model Pólya-gamma augmentation

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

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