3 papers
stat.ME2024
Spatio-temporal Occupancy Models with INLA
Jafet Belmont, Sara Martino, Janine Illian +1
Modern methods for quantifying and predicting species distribution play a crucial part in biodiversity conservation. Occupancy models are a popular choice for analyzing species occ…
stat.ME2023
A joint Bayesian framework for missing data and measurement error using integrated nested Laplace approximations
Emma Sofie Skarstein, Sara Martino, Stefanie Muff
Measurement error (ME) and missing values in covariates are often unavoidable in disciplines that deal with data, and both problems have separately received considerable attention…
stat.ME2014
Estimation of a non-stationary model for annual precipitation in southern Norway using replicates of the spatial field
Rikke Ingebrigtsen, Finn Lindgren, Ingelin Steinsland +1
Estimation of stationary dependence structure parameters using only a single realisation of the spatial process, typically leads to inaccurate estimates and poorly identified param…