JSM 2015 Preliminary Program

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Legend: Washington State Convention Center = CC, Sheraton Seattle = S, Grand Hyatt = GH and The Conference Center = TCC
* = applied session       ! = JSM meeting theme

Activity Details
91 Sun, 8/9/2015, 9:30 PM - 10:15 PM CC-4B
'STATMOS' Statistics in the Atmospheric Sciences — Invited Poster Presentations
Section on Statistics and the Environment , Korean International Statistical Society
Chair(s): Lan Xue, Oregon State University
1: Comparison of Ensemble Filters for Data Assimilation — Barbara Ann Bailey, San Diego State University ; Colette Smirniotis, San Diego State University
2: Spatial Seasonal Forecasting of Tropical Cyclone Occurrences Using Sea Surface Temperature and Latent Heat Flux — Marcela Alfaro-Córdoba, North Carolina State University ; Montserrat Fuentes, North Carolina State University ; Joseph Guinness, North Carolina State University ; Lian Xie, North Carolina State University
3: A Multi-Scale Reconstruction of Bivariate Paleoclimate from Tree Rings Using a Mechanistic Growth Model — John Tipton, Colorado State University ; Mevin Hooten, Colorado State University
4: Observation-Based Simulations of Future Temperatures with Changes in Variability Predicted by a Climate Model — Andrew Poppick, The University of Chicago ; Michael L. Stein, The University of Chicago ; Elisabeth Moyer, The University of Chicago
5: Expanded Multivariate Adaptive Regression Splines for Emulating Computational Models — Naveen Narisetty, University of Michigan ; Vijay Nair, University of Michigan ; Ji Zhu, University of Michigan ; Zach Zhang, University of Michigan
7: Spatial Quantile Evaluation of Air Quality Models Using In Situ Observations — Elizabeth Mannshardt, North Carolina State University ; Montserrat Fuentes, North Carolina State University ; Soumendra Lahiri, North Carolina State University ; Kristen Foley, EPA
8: A Partial Warp Parameterization for the Spatial Deformation Model for Nonstationary Covariance — Paul D. Sampson, University of Washington
9: Computationally Efficient Bayesian Inference for Spatial Generalized Linear Mixed Models — Saksham Chandra, Penn State ; Murali Haran, Penn State
10: Predicting Traffic-Related Air Pollutants in Near-Road Urban Environments — Owais Gilani, University of Michigan School of Public Health ; Veronica J. Berrocal, University of Michigan ; Stuart Batterman, University of Michigan School of Public Health
11: A Study of Models for High-Dimensional Spatial Binary Data — Yawen Guan, Penn State ; Murali Haran, Penn State
12: A Gauss-Pareto Process Model for Spatial Prediction of Extreme Precipitation — Robert Alohimakalani Yuen, University of Michigan ; Peter Guttorp, University of Washington
13: A Comparison of Precipitation Extremes Under RCP8.5 and RCP4.5 via Pattern Scaling — Miranda Fix, Colorado State University ; Dan Cooley, Colorado State University ; Steve Sain, National Center for Atmospheric Research ; Claudia Tebaldi, National Center for Atmospheric Research
14: A Bayesian, Multivariate, Functional Linear Model with Spatially Varying Coefficients — Christopher Krut, North Carolina State University ; Montserrat Fuentes, North Carolina State University ; Brian J. Reich, North Carolina State University
15: Local Likelihood Estimation for Covariance Functions with Spatially Varying Parameters — Mark Risser, The Ohio State University ; Catherine Calder, The Ohio State University
16: Quantifying Numerical Uncertainty in Dynamical Climate Models — Oksana Chkrebtii, The Ohio State University ; David A. Campbell, Simon Fraser University ; Mark Girolami, University of Warwick ; Ben Calderhead, Imperial College London
17: A Dynamic Spatial Factor Model for Speciated Pollutants and Adverse Birth Outcomes — Maria A. Terres, North Carolina State University ; Montserrat Fuentes, North Carolina State University




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