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Keyword Search Criteria: Gaussian Process returned 48 record(s)
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Sunday, 07/29/2018
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Uncertainty Quantification of Stochastic Computer Model for Binary Black Hole Formation
Luyao Lin, Simon Fraser University; Jim Barrett, University of Birmingham; Derek Bingham, Simon Fraser University; Ilya Mandel, University of Birmingham
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Gaussian Process Regression with Large Data Sets: Has the Problem Been Solved?
Sonja Surjanovic, University of British Columbia; William Welch, University of British Columbia
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Multi-Scale Vecchia Approximation of Gaussian Processes
Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A&M University
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Multi-Scale Vecchia Approximation of Gaussian Processes
Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A&M University
3:10 PM
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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
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Monday, 07/30/2018
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A Normalizing Function Emulation Approach for Doubly Intractable Distributions
Jaewoo Park, Pennsylvania State University; Murali Haran, Penn State University
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Uncertainty Quantification for Fission Product Yield Curves
Jason Bernstein, Lawrence Livermore National Laboratory; Nicolas Schunck, Lawrence Livermore National Laboratory
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Approximate Inference for Large Non-Gaussian Spatial Data
Daniel Zilber, Texas A&M University; Matthias Katzfuss, Texas A&M University
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Gaussian Process Propensity Scores for Multiple Treatment Regimes
Brian Vegetabile, UC Irvine; Daniel L. Gillen, University of California, Irvine; Hal Stern, University of California, Irvine
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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
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Robust Pulsar Timing Inference with Non-Gaussian Distributions
Hyungsuk Tak, SAMSI; Justin A. Ellis, West Virginia University; Sujit Ghosh, North Carolina State Univ.
8:55 AM
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Approximate Inference for Large Non-Gaussian Spatial Data
Daniel Zilber, Texas A&M University; Matthias Katzfuss, Texas A&M University
9:10 AM
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Fully Bayesian Spectral Methods for Imaging Data
Brian Reich, North Carolina State University; Joseph Guinness, NC State University; Simon Vandekar, University of Pennsylvania; Russell T Shinohara, University of Pennsylvania; Ana-Maria Staicu, NC State University
10:35 AM
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Bayesian Emulation and Calibration of an Individual-Based Model Simulation of Microbial Communities
Oluwole Oyebamiji, Newcastle University; Darren James Wilkinson, Newcastle University
10:35 AM
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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
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BRISC: Bootstrap for Rapid Inference on Spatial Covariances
Arkajyoti Saha, Johns Hopkins Bloomberg School of Public Health; Abhi Datta, Johns Hopkins Bloomberg School of Public Health
11:05 AM
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A Latent Variable Approach for Handling Qualitative Factors in Gaussian Process Modeling of Computer Experiments
Daniel W Apley, Northwestern University; Yichi Zhang, Northwestern University
11:15 AM
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Gaussian Process Propensity Scores for Multiple Treatment Regimes
Brian Vegetabile, UC Irvine; Daniel L. Gillen, University of California, Irvine; Hal Stern, University of California, Irvine
11:50 AM
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Universal Convergence of Kriging
C. F. Jeff Wu, Georgia Institute of Technology; Rui Tuo, Chinese Academy of Sciences; Wenjia Wang, Georgia Institute of Technology
2:05 PM
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Screening for Important Factors in Computer Experiments
David Steinberg, Tel Aviv University; Natalie Abel, Tel Aviv University
2:30 PM
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Design of Experiments for the Calibration of Computational Models
David Woods, University of Southampton; Yiolanda Englezou, University of Southampton; Timothy Waite, University of Manchester
2:55 PM
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Bayesian Model-Assisted Estimation for Functional Data in Survey Sampling
Luis Fernando Campos, Harvard University
3:25 PM
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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
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Tuesday, 07/31/2018
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Bayesian Hierarchical Models for Voxel-Wise Classification of Prostate Cancer Using Nearest-Neighbor Gaussian Process
Jin Jin, Division of Biostatistics, University of Minnesota; Joseph Koopmeiners, Division of Biostatistics, University of Minnesota; Gregory Metzger, University of Minnesota; Ethan Leng, University of Minnesota
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Model Calibration with Censored Data
Shan Ba, The Procter & Gamble Company; Fang Cao, Georgia Institute of Technology; William Brenneman, The Procter & Gamble Company; Roshan Joseph Vengazhiyil, Georgia Institute of Technology
8:35 AM
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Multi-Resolution Approximations of Gaussian Processes for Multivariate Spatial Data
Wenlong Gong, Texas A&M University
8:35 AM
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Bayesian Probabilistic Numerical Methods
Jonathan Cockayne
8:55 AM
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Multi-Resolution Filters for Massive Spatio-Temporal Data
Marcin Jurek, Texas A&M University; Matthias Katzfuss, Texas A&M University
8:55 AM
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Bayesian Inference for Conditional Copulas Using Gaussian Process Single Index Models
Radu V Craiu, University of Toronto; Evgeny Levi, University of Toronto
9:00 AM
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Coupling Forest In-Situ and Spaced-Based Lidar Samples to Improve National-Scale Forest Inventory: a Joint Spatial Modeling Framework for Forest and Lidar Variable Prediction Lever
Chad Babcock, University of Washington; Andrew Oliver Finley, Michigan State University; Hans-Erik Andersen, USDA Forest Service; Bruce Douglas Cook, NASA Goddard Space Flight Center; Douglas C Morton, NASA Goddard Space Flight Center
9:15 AM
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Dynamic Fused Gaussian Process for Massive Sea Surface Temperature Data from MODIS and AMSR-E Instruments
Emily L. Kang, University of Cincinnati; Pulong Ma, University of Cincinnati
9:55 AM
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Constructing Cosmological Emulators from a Mixture of Complete and Partial Simulation Results
Earl Christopher Lawrence, Los Alamos National Laboratory
10:35 AM
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Hierarchical Spatial Model for Creating Global Maps of Plant Trait Distribution
Abhi Datta, Johns Hopkins Bloomberg School of Public Health
2:05 PM
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Bayesian Nonparametric Models for Multivariate Processes in Phylodynamics Using Stochastic Differential Equations
James Faulkner, University of Washington; Vladimir N. Minin, University of California, Irvine
2:20 PM
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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
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Large and Non-Stationary Spatial Fields: Quantifying Uncertainty in the Pattern Scaling of Climate Models
Douglas William Nychka, NCAR
3:20 PM
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Hierarchical Gaussian Processes for Spatially Dependent Model Selection
James Fry, Virginia Tech; Scotland Leman, Virginia Tech
3:35 PM
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Wednesday, 08/01/2018
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Calibrating a Stochastic Agent Based Model Using Quantile-Based Emulation
Arindam Fadikar, Virginia Tech; David Higdon, Virginia Tech
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A General Framework for Vecchia Approximations of Gaussian Processes
Matthias Katzfuss, Texas A&M University; Joseph Guinness, North Carolina State University
9:05 AM
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Calibrating a Stochastic Agent Based Model Using Quantile-Based Emulation
Arindam Fadikar, Virginia Tech; David Higdon, Virginia Tech
9:20 AM
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Joint Hierarchical Models for Sparsely Sampled High-Dimensional LiDAR and Forest Variables
Andrew Oliver Finley, Michigan State University; Hans-Erik Andersen, USDA Forest Service; Sudipto Banerjee, UCLA School of Public Health; Bruce Douglas Cook, NASA Goddard Space Flight Center; Abhi Datta, Johns Hopkins Bloomberg School of Public Health; Douglas C Morton, NASA Goddard Space Flight Center
9:35 AM
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Genome-Wide Gaussian Process Regression for Survival Time Prediction
Aaron J. Molstad, Fred Hutchinson Cancer Research Center; Wei Sun, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center, USA
9:50 AM
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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
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Spatio-Temporal Modeling of Heavy-Tailed Data via Non-Gaussian Latent Processes
Gabriel Huerta, University of New Mexico; Kellin Rumsey, University of New Mexico
11:05 AM
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Thursday, 08/02/2018
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Gaussian Process Selections in Semiparametric Regression for Multi-Pathway Analysis
Jiali Lin, Virginia Tech; Inyoung Kim, Virginia Tech
8:50 AM
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Bayesian Uncertainty Quantification for CO2 Retrieval from Satellite Remote Sensing Data
Anirban Mondal, Case Western Reserve University; Jonathan Hobbs, Jet Propulsion Laboratory
9:35 AM
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Spatial Modeling of Diffusion Tensor Imaging Data from a Cocaine Addiction Study
Dipankar Bandyopadhyay, Virginia Commonwealth University; Zhou Lan, North Carolina State University; Brian Reich, North Carolina State University; Joseph Guinness, NC State University
9:55 AM
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Sub-Asymptotic Models for Spatial Extremes Using Random Effects
Benjamin Shaby, Penn State University
11:35 AM
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