Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
235
Mon, 7/31/2017,
2:00 PM -
3:50 PM
CC-325
Spatio-Temporal Theory and Methods — Contributed Papers
Section on Statistics and the Environment
Chair(s): Kimberly Kaufeld, Los Alamos National Laboratory
2:05 PM
Consistency of Classical Variogram Estimators on the Sphere
—
Haimeng Zhang, University of North Carolina at Greensboro ; Chunfeng Huang, Indiana University - Bloomington ; Wenshuang Wang, Mississippi State University ; Chris Vanlangenberg, APEX Analytix
2:20 PM
Local Variance Estimation in a Spatio-Temporal Process
—
Eunice Kim
2:35 PM
Bayesian Semiparametric Covariance Function Estimation for Stationary Gaussian Processes by Overwhelming Force
—
John Ensley
2:50 PM
Variable Selection for High-Dimensional Spatial Regression Models
—
Abolfazl Safikhani, Columbia University ; Tapabrata Maiti, Michigan State University ; Chae Young Lim , Seoul National University
3:05 PM
Variable Selection for Expanding Covariate Space and High-Dimensional Discrete Spatial Data
—
Abdhi Sarkar, Michigan State University ; Chae Young Lim , Seoul National University ; Tapabrata Maiti, Michigan State University
3:20 PM
Block Conditioning Approximations Based on Hierarchical Decompositions for High-Dimensional Multivariate Normal Probabilities
—
Jian Cao ; Marc G. Genton, KAUST ; David Keyes, King Abdullah University of Science and Technology ; George Turkiyyah, American University of Beirut
3:35 PM
Discriminant Analysis for High-Dimensional Spatio Temporal Data
—
Rejaul Karim, Michigan State University ; Tapabrata Maiti, Michigan State University ; Chae Young Lim , Seoul National University
