Preferential sampling in environmental science: exception or standard?

Music City Center 

This talk will cover work developed for some environmental areas to handle sampling preferentiality. Specific examples addressed include Geostatistics and presence-only data in ecological studies. Each of the areas above has its typical data format. This leads to specific forms to address preferentiality for each scenario. Either way, both use the standard Poisson process for the locations of the observations, for which the exact likelihood is not available analytically. The approach pursued is entirely model-based and uses data augmentation techniques to allow for exact inference procedures. Comparisons against alternative approximated procedures based on real data analyses point favourably to the exact methodology.

Environmental studies

Bayesian

Sampling preferentiality

Data augmentation

Exact inference

Prediction of unknowns