Sponsored by the Statistical and Applied Mathematical Sciences Institute and the Geophysical Statistics Project. All seminars will be held in the Main Seminar Room of Foothills Lab #2

Agenda (tentative)

Sunday, June 1

• 7:00pm - 9:00pm - Mixer at the Millennium Hotel ('Garden' area)

Monday, June 2

• 8:45 - 10:00 - Robin Dennis, NOAA/Environmental Protection Agency
  Numerical Models of Regional Air Quality: (Lining Up Model and Measurements to Probe and Address Uncertainty)
• 10:00 - 10:15 - Break
• 10:15 - 11:30 - Noel Cressie, The Ohio State University
  Variance-Covariance Modeling and Estimation for Multi-Resolution Spatial Models
  Abstract
• 11:30 - 1:00 - Lunch (posters files attached)
• 1:00 - 2:15 - Brad Carlin, University of Minnesota
  Introduction to Methods for Areal (Lattice) Data
• 2:15 - 3:15 - Francesca Dominici, John Hopkins University
  Controlling for confounding in time series studies of air pollution and mortality: How smooth (or rough) should we be?
  Abstract
• 3:15 - 3:30 - Break
• 3:30 - 4:30 - Robert Wolpert, Duke University
  Disease Mapping with Disparate Spatial Data
• 4:30 - 5:30 - Richard Smith, University of North Carolina at Chapel Hill
  Geostatistical Modeling
  Abstract
  

Tuesday, June 3

• 8:45 - 10:00 - Mark Berliner, The Ohio State University
  Bayesian Perspective on Inference for Space-Time Processes
• 10:00 - 10:15 - Break
• 10:15 - 11:30 - Chris Wikle, University of Missouri
  Incorporating Scientific Priors in Hierarchical Spatio-Temporal Models: An Invasive Species Case Study
• 11:30 - 1:00 - Lunch (posters files attached)
• 1:00 - 2:15 - Jeff Anderson, Geophysical Fluids Dynamics Laboratory
  Ensemble Filters for Atmosphere and Ocean Data Assimilation
  Abstract
  
• 2:15 - 3:15 - N. Scott Urquhart and F. Jay Breidt, Colorado State University
  Spatial-Temporal Aspects of Water Quality
  Abstract and
  Spatial Ensemble Estimates of Temporal Trends in Acid Neutralizing Capacity
  
• 3:15 - 3:30 - Break
• 3:30 - 4:30 - Richard Kleeman, Courant Institute of Mathematical Sciences, New York University
  Measuring the information content of ensemble predictions in dynamical systems relevant to atmosphere and ocean
• 4:30 - 5:30 - Montserrat Fuentes, North Carolina State University
  Review of Spectral Methods for Spatial Processes
  Abstract
  

Wednesday, June 4

• 8:45 - 11:30 - Gabriele Hegerl, Duke University, Detection of Anthropogenic Climate Change, Ben Santer, Lawrence Livermore National Laboratory
  Tom M. L. Wigley, National Center for Atmospheric Research (15 minute break at 10:15)
  Deconstructing Recent Global-Mean Temperature Changes
  
• 11:30 - 1:00 - Lunch (posters)
• 1:00 - 2:15 - Andrew J. Majda, Courant Institute of Mathematical Sciences, New York University
  Quantifying Uncertainty for Non-Gaussian Ensembles in Climate Prediction
• 2:15 - 3:15 - Richard McLaughlin, University of North Carolina at Chapel Hill
  Homogenization of Gravity Currents in Heterogeneous Porous Media
• 3:15 - Late afternoon free with local hiking

Thursday, June 5

• 8:45 - 10:00 - Alan Gelfand, Duke University
  Environmental Problems, Spatial Modeling, and Bayesian Inference
• 10:00 - 10:15 - Break
• 10:15 - 11:30 - Doug Nychka, National Center for Atmospheric Research
  The Matrix Revisited: Spatial Analysis of Large Data Sets
  Abstract
  
• 11:30 - 1:00 - Lunch
• 1:00 - 2:15 - Marc Serre, University of North Carolina at Chapel Hill and George Christakos, University of North Carolina at Chapel Hill
  Scientific air pollution mapping across space and time: Dealing with data uncertainties and the integration of physical laws.
• 2:15 - 3:15 - Michael Stein, University of Chicago
  Models for Spatial-Temporal Covariances
  Abstract
• 3:15 - 3:30 - Break
• 3:30 - 4:30 - Marc Genton, North Carolina State University
  Predictive spatio-temporal models for spatially sparse environmental data
  Abstract
  Skew-elliptical distributions for environmental data

Friday, June 6

• 8:30am - 12:00pm - Working groups