Name: 2018 Joint Statistical Meetings
Start: 2018-07-28T07:00:00+00:00
End: 2018-08-02
Location: Vancouver Convention Centre

Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme

Keyword Search Criteria: Gaussian processes returned 14 record(s)

Sunday, 07/29/2018

Multi-Scale Vecchia Approximation of Gaussian Processes
Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A&M University

Multi-Scale Vecchia Approximation of Gaussian Processes
Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A&M University
3:10 PM

Bayesian Spatial Modeling via Kernel Convolutions on Complex-Valued fMRI Signals
Cheng-Han Yu, UC Santa Cruz; Raquel Prado, University of California Santa Cruz, Baskin School of Engineering
5:05 PM

Monday, 07/30/2018

A Normalizing Function Emulation Approach for Doubly Intractable Distributions
Jaewoo Park, Pennsylvania State University; Murali Haran, Penn State University

Some Model-Building Tools for Gaussian Processes, Using an Approximate Form of the Restricted Likelihood
Maitreyee Bose, University of Washington; James S. Hodges, University of Minnesota; Sudipto Banerjee, UCLA School of Public Health
8:35 AM

Posterior Convergence and Coverage Aspects of Gaussian Process Approximations
Biraj Subhra Guha, Texas A & M University; Debdeep Pati, Texas A&M University
10:50 AM

The Spatial Wishart Process and Its Applications to Diffusion Tensor Images
Zhou Lan, North Carolina State University; Brian Reich, North Carolina State University; Joseph Guinness, NC State University; Dipankar Bandyopadhyay, Virginia Commonwealth University
3:35 PM

Tuesday, 07/31/2018

Multi-Resolution Approximations of Gaussian Processes for Multivariate Spatial Data
Wenlong Gong, Texas A&M University
8:35 AM

Bayesian Probabilistic Numerical Methods
Jonathan Cockayne
8:55 AM

Hierarchical Spatial Model for Creating Global Maps of Plant Trait Distribution
Abhi Datta, Johns Hopkins Bloomberg School of Public Health
2:05 PM

Bayesian Spatial Process Models for High-Dimensional Finite Population Sampling
Sudipto Banerjee, UCLA School of Public Health; Alec Goldstein-Chan, University of California Los Angeles
2:55 PM

Hierarchical Gaussian Processes for Spatially Dependent Model Selection
James Fry, Virginia Tech; Scotland Leman, Virginia Tech
3:35 PM

Wednesday, 08/01/2018

A General Framework for Vecchia Approximations of Gaussian Processes
Matthias Katzfuss, Texas A&M University; Joseph Guinness, North Carolina State University
9:05 AM

A Scalable Multi-Resolution Spatio-Temporal Model for Brain Activation and Connectivity in fMRI Data
Stefano Castruccio, University of Notre Dame; Hernando Ombao, King Abdullah University of Science and Technology; Marc G Genton, King Abdullah University of Science and Technology
10:55 AM

JSM 2018 Online Program