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
89 Sun, 8/9/2015, 8:30 PM - 9:15 PM CC-4B
Computational Methods for Big Data and Visualization Problems — Invited Poster Presentations
Korean International Statistical Society , Section on Statistics and the Environment
Chair(s): Lan Xue, Oregon State University
1: Exploratory Data Analysis and High-Performance Computing — Doug Nychka, National Center for Atmospheric Research
2: Multilevel Boundary Conditioning for Large Spatial Data Sets — Zhen Zhang, The University of Chicago ; Michael L. Stein, The University of Chicago ; Mihai Anitescu, Argonne National Laboratory
3: A Multiresolution Approximation for Big Spatial Data — Matthias Katzfuss, Texas A&M University
4: Geometry on Demand: An Efficient Sampling Algorithm for High-Dimensional Problems — Shiwei Lan, University of Warwick ; Babak Shahbaba, UC Irvine
5: Point Process on a Global Scale and Its Application to Lightning Occurrence — Mikyoung Jun, Texas A&M University
6: Modeling Dynamics of Large-Scale Effective Connectivity in fMRI Data — Hernando Ombao, UC Irvine ; Chee-Ming Ting, Universiti Teknologi Malaysia ; Sh-Hussain Salleh, Universiti Teknologi Malaysia
7: A Conditional Simulation Approach to Future Precipitation Scenario Generation — Won Chang, The University of Chicago ; Michael L. Stein, The University of Chicago ; Elisabeth Moyer, The University of Chicago ; Jiali Wang, Argonne National Laboratory ; Rao Kotamarthi, Argonne National Laboratory
8: Large-Scale Multimodal Brain Network Construction and Its Application to Maltreated Children — Moo Chung, University of Wisconsin - Madison
9: Accelerating Statistical Analysis Through Parallel Computations — Dorit Hammerling, National Center for Atmospheric Research ; Doug Nychka, National Center for Atmospheric Research ; Benjamin Jamroz, National Center for Atmospheric Research
10: Estimating Mediation Effects Under Correlated Errors in Big fMRI Data — Yi Zhao, Brown University ; Xi Luo, Brown University
12: Quantifying the Uncertainty of Contour Maps — David Bolin, Chalmers University of Technology/University of Gothenburg
13: Spatio-Temporal Smoothing for Very Large Data Sets: Satellite-Based Vegetation Measurements — Johan Lindström, Lund University
14: A New Method for Estimating Spectral Clustering Change-Points for fMRI Data — Ivor Cribben, University of Alberta ; Yi Yu, University of Cambridge
15: Smoothed Full-Scale Covariance Approximation for Large Spatial Data Sets — Huiyan Sang, Texas A&M University




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