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Activity Number: 516
Type: Invited
Date/Time: Wednesday, August 3, 2016 : 10:30 AM to 12:20 PM
Sponsor: Section on Bayesian Statistical Science
Abstract #318133 View Presentation
Title: Optimal Design in Geostatistics Under Preferential Sampling
Author(s): Gustavo da Silva Ferreira* and Dani Gamerman
Companies: National School of Statistical Sciences and Federal University of Rio de Janeiro
Keywords: preferential sampling ; optimal design ; Geostatistics ; point process

This paper analyses the effect of preferential sampling in Geostatistics when the choice of new sampling locations is the main interest of the researcher. A Bayesian criterion based on maximizing utility functions is used. Simulated studies are presented and highlight the strong influence of preferential sampling in the decisions. The computational complexity is faced by treating the new local sampling locations as a model parameter and the optimal choice is then made by analysing its posterior distribution. Finally, an application is presented using rainfall data collected during spring in Rio de Janeiro. The results showed that the optimal design is substantially changed under preferential sampling effects. Furthermore, we discuss the main contributions received from discussants about interesting aspects related to preferential sampling effects and optimal design in Geostatistics.

Authors who are presenting talks have a * after their name.

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