5 papers
Bivariate geostatistical latent variable models for the analysis of antibody density data
Emanuele Giorgi, Jonas Wallin
The increasing availability of serosurveys that measure antibody responses to multiple antigens requires the development of methods that can exploit the full information content of…
Integrating Temporal Disaggregation and Distributed Lag Nonlinear Models for Bayesian Spatio-Temporal Disease Mapping with High-Resolution Environmental Exposures
Alejandro Rozo Posada, Maxime Fajgenblat, Christel Faes +4
Environmental conditions are major drivers of malaria transmission, but epidemiological analyses are often constrained by temporal misalignment between health outcomes reported at…
Approximate Likelihood-Based Inference for Spatial Generalized Linear Mixed Models
Samuel I. Watson, Yixin Wang, Emanuele Giorgi
We study maximum likelihood estimation for spatial generalized linear mixed models with Gaussian process approximations using a stochastic Newton-Raphson algorithm. We consider two…
A flexible class of latent variable models for the analysis of antibody response data
Emanuele Giorgi, Jonas Wallin
Existing approaches to modelling antibody concentration data are mostly based on finite mixture models that rely on the assumption that individuals can be divided into two distinct…
A Time-Series Model for Areal Data Using Area-Specific Gaussian Processes with Spatially Correlated Hyperparameters
Alejandro Rozo Posada, Oswaldo Gressani, Christel Faes +4
In many applied settings, areal data are observed repeatedly over long time periods, as commonly occurs in infectious disease surveillance and environmental or demographic monitori…