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作者：Saduakhas, Damilya; Bolin, David; Jin, Xiaotian; Simas, Alexandre B.; Wallin, Jonas
作者单位：King Abdullah University of Science & Technology; Lund University
摘要：Accurate analysis of global oceanographic data, such as temperature and salinity profiles from the Argo program, requires geostatistical models that capture complex spatial dependencies. We propose Gaussian and non-Gaussian hierarchical multivariate Mat & eacute;rn-SPDE models with correlated nugget effects that jointly account for small-scale variability and measurement-error correlations between co-located observations. Simulations show that ignoring such correlations biases cross-variable d...
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作者：Buchardt, Kristian; Furrer, Christian; Sandqvist, Oliver
作者单位：University of Copenhagen
摘要：Accurate forecasting of an insurer's outstanding liabilities is vital for the solvency of insurance companies and the financial stability of the insurance sector. For health and disability insurance, the liabilities are intimately linked with the biometric event history of the insured. Complete observation of event histories is often impossible due to sampling effects, such as right-censoring and left-truncation, but also due to reporting delays and incomplete event adjudication. In this paper...
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作者：Casarin, Roberto; Peruzzi, Antonio; Steel, Mark F. J.
作者单位：Universita Ca Foscari Venezia; University of Warwick
摘要：News outlets are now more than ever incentivized to provide their audi-ence with slanted news, while the intrinsic homophilic nature of online social media may exacerbate polarized opinions. Here we propose a new dynamic latent space model for time-varying online audience-duplication networks, which exploits social media content to conduct inference on media bias and polarization of news outlets. We contribute to the literature in several direc-tions: specialIntscript Our model provides a nove...
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作者：Zhang, Pei; Albert, Paul S.; Hong, Hyokyoung G.
作者单位：National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI); NIH National Cancer Institute- Division of Cancer Epidemiology & Genetics
摘要：Approaches for estimating genetic effects at the individual level often focus on analyzing phenotypes at a single time point, with less attention given to longitudinal phenotypes. This paper introduces a mixed modeling approach that includes both genetic and individual-specific random effects and is designed to estimate genetic effects on both the baseline and slope for a longitudinal trajectory. The inclusion of genetic effects on both baseline and slope, combined with the crossed structure o...
