JSM 2016 Online Program

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Sessions Were Renumbered as of May 19.

Legend:
CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Keyword Search Criteria: Basis function returned 10 record(s)

Sunday, 07/31/2016

Functional Multiple Indicators, Multiple Causes Measurement Error Models
Carmen Tekwe, Texas A&M University; Roger Zoh, Texas A&M University; Raymond Carroll, Texas A&M University; Guoyao Wu, Texas A&M University; Fuller Bazer, Texas A&M University
3:20 PM

Monday, 08/01/2016

Manifold Data Analysis
Hyun Bin Kang; Matthew Reimherr, Penn State University
11:05 AM

Semiparametric Inference via Sparsity-Induced Kriging for Massive Spatial Data Sets
Pulong Ma, University of Cincinnati; Emily Lei Kang, University of Cincinnati
11:50 AM

The Blessing of Derivatives in Nonparametric Estimation
Xiaowu Dai, University of Wisconsin - Madison; Grace Wahba, University of Wisconsin - Madison; Peter Qian, University of Wisconsin - Madison
2:20 PM

Tuesday, 08/02/2016

Identification of Solids in Hyperspectral Images Using Spectral Features from Gaussian Basis Functions
Cory Lanker, Lawrence Livermore National Laboratory; Milton O. Smith, Lawrence Livermore National Laboratory

Alternative Approach to Modeling Areal-Level Spatial Data Using Basis Functions
Ghadeer Mahdi, University of Arkansas; Avishek Chakraborty, University of Arkansas; Mark Arnold, University of Arkansas
10:50 AM

Spatial Basis Function Approach to Accommodate Teleconnection Patterns in Climate Data
Whitney Huang, Purdue University; Hao Zhang, Purdue University
11:20 AM

Wednesday, 08/03/2016

Using Moving Averages and Basis Functions to Create Spatial Models for Stream Networks
Jay Ver Hoef, NOAA/NMFS National Marine Mammal Lab
8:55 AM

Basis Function Approaches for Continuous-Time Lagrangian Movement Modeling
Mevin Hooten, Colorado State University
9:35 AM

Multi-Resolution Approaches for Big Spatial Data
Matthias Katzfuss, Texas A&M University
9:55 AM

JSM 2016 Online Program

Keyword Search

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