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Keyword Search Criteria: uncertainty quantification returned 20 record(s)
Sunday, 07/30/2017
Computer Model Calibration to Enable Disaggregation of Large Parameter Spaces, with Application to Mars Rover Data
David Craig Stenning, SAMSI/Duke University; Working Group 1 ASTRO Program, SAMSI


Towards Accounting for Model Error in CO2 Retrievals from the OCO-2 Satellite
Jenny Brynjarsdottir, Case Western Reserve University; Jonathan Hobbs, Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory
2:05 PM

Bayesian and Variational Bayesian Approaches for Flows in Heterogenous Random Media
Nilabja Guha, Texas A & M University; Keren Yang, Fudan University; Bani K. Mallick, Texas A&M University; Yalchin Efendiev, Texas A&M University
2:20 PM

Nonparametric Functional Calibration of Computer Models
Andrew Brown, Clemson University; Sez Atamturktur, Glenn Department of Civil Engineering, Clemson University
5:05 PM

Monday, 07/31/2017
Uncertainty Propagation for a Large Scale Hydrological Routing Model
Michael Turmon, Jet Propulsion Lab/Caltech; Jonathan Hobbs, Jet Propulsion Laboratory; J T Reager, Jet Propulsion Lab/Caltech; Cedric David, Jet Propulsion Lab/Caltech; James Famiglietti, Jet Propulsion Lab/Caltech


Bayesian Estimation and Uncertainty Quantification in Differential Equation Models
Prithwish Bhaumik, Quantifind Inc.


Uncertainty Quantification for Network Regression
Frank W Marrs, Colorado State University; Bailey Fosdick, Colorado State University; Tyler McCormick, University of Washington
8:35 AM

Scalable Approximations of Marginal Posteriors in Variable Selection
Willem Van Den Boom, Duke University; Galen Reeves, Duke University; David Dunson, Duke University
8:55 AM

Bayesian Estimation and Uncertainty Quantification in Differential Equation Models
Prithwish Bhaumik, Quantifind Inc.
9:55 AM

Tuesday, 08/01/2017
Uncertainty Quantification for Remote Sensing Data
Amy Braverman, Jet Propulsion Laboratory; Jonathan Hobbs, Jet Propulsion Laboratory
8:55 AM

Uncertainty Quantification for High-Resolution Hydrology Applications in the Western United States
Jonathan Hobbs, Jet Propulsion Laboratory; Michael Turmon, Jet Propulsion Lab/Caltech; J T Reager, Jet Propulsion Lab/Caltech; Cedric David, Jet Propulsion Lab/Caltech; James Famiglietti, Jet Propulsion Lab/Caltech
9:55 AM

Probabilistic Numerical Computation: A Role for Statisticians in Numerical Analysis?
Mark Girolami, Imperial College London
2:05 PM

A Sequential Split-Conquer-Combine Approach for Gaussian Process Modeling in Computer Experiments
Ying Hung; Minge Xie, Rutgers University; Chengrui Li, Rutgers University
3:20 PM

Wednesday, 08/02/2017
Mixed Eff ects Material Strength Models with Model Discrepancy
Jason Bernstein; Kathleeen Schmidt, Lawrence Livermore National Laboratory; Ana Kupresanin, Lawrence Livermore National Laboratory; Jeff Florando, Lawrence Livermore National Laboratory; Nathan Barton, Lawrence Livermore National Laboratory


A Class of Nonseparable and Nonstationary Covariance Functions for Multi-Ouput Gaussian Process
Pulong Ma, Department of Mathematical Sciences, University of Cincinnati; Bledar Alex Konomi, Department of Mathematical Sciences, University of Cincinnati; Emily L. Kang, University of Cincinnati


Statistical Challenges and Opportunities with Remote Sensing Data
Jonathan Hobbs, Jet Propulsion Laboratory


Calibration, Uncertainty Quantification, and Propagation for Large Scale Systems
K. Bhat, Los Alamos National Laboratory


Sequential Optimal Experimental Design Using Adaptive Transport Maps
Xun Huan, Sandia National Laboratories; Youssef Marzouk, Massachusetts Institute of Technology
9:15 AM

Solution Uncertainty Quantification for Differential Equations
Oksana A Chkrebtii, The Ohio State University; David A Campbell, Simon Fraser University; Ben Calderhead, Imperial College London; Mark A Girolami, University of Warwick
11:00 AM

Stabilizing Gradient Enhanced Emulators with Sparsity Constraints
Peter Qian, University of Wisconsin-Madison ; Jared Huling, University of Wisconsin-Madison
11:25 AM

 
 
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