Thursday, October 29, 2009
04:30 PM in MATH 175
Doug Nychka
Director of the Institute for Mathematics Applied to Geosciences, National Center for Atmospheric Research (NCAR), Boulder, Colorado

The World of Large Spatial Data Sets

Abstract

Many statistical problems such as analyzing the Earth's climate or in determining the influence of geographic location on health depend on large spatial data sets. These problems typically break standard and exact methods for spatial statistics and approximate approaches are needed. This talk will give some examples based on a suite of regional climate simulations and dense observational data sets to motivate new spatial statistics. These include some techniques for introducing sparsity into covariance models, approximate covariance models, and the use of conditional simulation for inference.

Refreshments will be served at 4:00 PM in HAAS 111.