A multivariate spatiotemporal model for tracking COVID-19 incidence and death rates in socially vulnerable populations
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Publication:6176278
DOI10.1080/02664763.2022.2046713MaRDI QIDQ6176278
Chun-Che Wen, Unnamed Author, Brian Neelon
Publication date: 25 July 2023
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228323
random walkLaplacian matrixpenalized splinesGaussian Markov random fieldnegative binomial modelPólya-gamma data augmentation
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- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- Bayesian zero-inflated negative binomial regression based on Pólya-gamma mixtures
- Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
- Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables
- Generalized inverse of the Laplacian matrix and some applications
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