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