Regularised B-splines projected Gaussian process priors to estimate time-trends in age-specific COVID-19 deaths

DOI10.1214/22-ba1334MaRDI QIDQ6650965

Carlos Cardoso Correia Perello, Andrea Brizzi, Vidoushee Jogarah, Mélodie Monod, Yuanrong Wang, Oliver Ratmann, Samir Bhatt, Alexandra Blenkinsop, Yu Chen, Seth R. Flaxman

Publication date: 9 December 2024

Published in: Bayesian Analysis (Search for Journal in Brave)

zbMATH Keywords

Bayesian statisticsmortalitynon-parametric statisticsCovid-19Gaussian process approximationsStan probabilistic computing language

Mathematics Subject Classification ID

Numerical computation using splines (65D07) Gaussian processes (60G15) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Statistics (62-XX)

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