Event Diary
CRiSM Seminar - Sujit Sahu (Southampton)
Sujit Sahu (Southampton)
High Resolution Bayesian Space-Time Modelling for Ozone Concentration Levels
This talk will first discuss the two air quality standards for ozone levels and then will develop high resolution Bayesian space-time models which can be used to assess compliance. Predictive inference properties of several rival modelling strategies for both spatial interpolation and temporal forecasting will be compared and illustrated with simulation and real data examples. A number of large real life ozone concentration data sets observed over the eastern United States will also be used to illustrate the Bayesian space-time models. Several prediction maps from these models for the eastern US, published and used by the USEPA, will be discussed.