Time fused coefficient SIR model with application to COVID-19 epidemic in the United States
From MaRDI portal
Publication:6078138
DOI10.1080/02664763.2021.1936467arXiv2008.04284MaRDI QIDQ6078138
Yishu Xue, Yuqing Pan, Qingyang Liu, Hou-Cheng Yang, Guanyu Hu
Publication date: 27 September 2023
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2008.04284
Applications of statistics to biology and medical sciences; meta analysis (62P10) Statistics (62-XX)
Related Items
Cites Work
- Sparsity information and regularization in the horseshoe and other shrinkage priors
- The horseshoe estimator: posterior concentration around nearly black vectors
- Asymptotic properties of Bayes risk for the horseshoe prior
- Heterogeneity learning for SIRS model: an application to the COVID-19
- Penalized regression, standard errors, and Bayesian Lassos
- Nearly optimal Bayesian shrinkage for high-dimensional regression
- The Mathematics of Infectious Diseases
- The horseshoe estimator for sparse signals
- The Bayesian Lasso
- Bayesian Variable Selection in Linear Regression
- Sparsity and Smoothness Via the Fused Lasso
- Contributions to the mathematical theory of epidemics. III.—Further studies of the problem of endemicity