3 papers
stat.AP2024
Navigating Challenges in Spatio-temporal Modelling of Antarctic Krill Abundance: Addressing Zero-inflated Data and Misaligned Covariates
André Victor Ribeiro Amaral, Adam M. Sykulski, Sophie Fielding +1
Antarctic krill (Euphausia superba) are among the most abundant species on our planet and serve as a vital food source for many marine predators in the Southern Ocean. In this pape…
stat.ME2023
Spatial data fusion adjusting for preferential sampling using INLA and SPDE
Ruiman Zhong, André Victor Ribeiro Amaral, Paula Moraga
Spatially misaligned data can be fused by using a Bayesian melding model that assumes that underlying all observations there is a spatially continuous Gaussian random field process…
stat.ME2023
Extended Excess Hazard Models for Spatially Dependent Survival Data
André Victor Ribeiro Amaral, Francisco Javier Rubio, Manuela Quaresma +2
Relative survival represents the preferred framework for the analysis of population cancer survival data. The aim is to model the survival probability associated to cancer in the a…