Keyword Search
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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Uncertainty quantification returned 28 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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Parameter Subset Selection for Mixed-Effects Models
Kathleen Schmidt, Lawrence Livermore National Laboratory; Ralph C. Smith, North Carolina State University; Jason Bernstein, Lawrence Livermore National Laboratory; Ana Kupresanin, Lawrence Livermore National Laboratory
2:05 PM
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Applications of Extreme Value Methods in the IPCC and US National Assessment Reports
Michael F Wehner, Lawrence Berkeley National Laboratory
4:55 PM
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Monday, 07/30/2018
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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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Multi-Scale Uncertainty Quantification in the Physical Sciences and Engineering for Complex Models
K. Sham Bhat, Los Alamos National Laboratory
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Uncertainty Quantification of Weather Forecasts
Yu Wang, University of British Columbia; Gong Zhang, University of British Columbia; Boyi Hu, University of British Columbia; Ho Yin Ho, University of British Columbia
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Tools for Simulation-Based Uncertainty Quantification in Remote Sensing Inverse Problems
Jonathan Hobbs, Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory; Ali Behrangi, University of Arizona; Sandy Burden, University of Wollongong; Eric Fetzer, Jet Propulsion Laboratory; Kyo Lee, Jet Propulsion Laboratory; Hai Nguyen, Jet Propulsion Laboratory
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Uncertainty Quantification of Weather Forecasts
Yu Wang, University of British Columbia; Gong Zhang, University of British Columbia; Boyi Hu, University of British Columbia; Ho Yin Ho, University of British Columbia
9:15 AM
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Computer Model Calibration to Enable Disaggregation of Chemical Spectra
David Stenning, Imperial College London
9:35 AM
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A Geometric Approach for Calibrating Computer Models with Misaligned Functional Output
Lauren Hund; James Derek Tucker, Sandia National Laboratories; Justin Brown, Sandia National Laboratories
10:35 AM
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Tools for Simulation-Based Uncertainty Quantification in Remote Sensing Inverse Problems
Jonathan Hobbs, Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory; Ali Behrangi, University of Arizona; Sandy Burden, University of Wollongong; Eric Fetzer, Jet Propulsion Laboratory; Kyo Lee, Jet Propulsion Laboratory; Hai Nguyen, Jet Propulsion Laboratory
10:35 AM
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Bayesian Framework for Embedded Model Error Representation and Quantification
Khachik Sargsyan, Sandia National Labs/California; Xun Huan, Sandia National Labs/California; Habib Najm, Sandia National Labs/California
10:55 AM
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Neuronized Priors for A Unified Sparsity Inference
Ismael Castillo, Universite Pierre et Marie Curie - Paris 6; Minsuk Shin, Harvard University
11:00 AM
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Uncertainty Quantification of Injury Risk Measures
Dorin Drignei, Oakland University
11:35 AM
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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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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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Simulation-Based Uncertainty Quantification for Optimal Estimation Remote Sensing Retrievals
Amy Braverman, Jet Propulsion Laboratory; Jonathan Hobbs, Jet Propulsion Laboratory
8:35 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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Exploring Departures from Stationarity Using Locally Stationary Time Series
Shreyan Ganguly, The Ohio State University; Peter Craigmile, The Ohio State University
9:20 AM
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Astrophysical Deconvolution When the Convolution Function Is Imprecise
David A van Dyk, Imperial College London
2:25 PM
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Thursday, 08/02/2018
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Uncertainty Quantification of Treatment Regime in Precision Medicine by Confidence Distributions
Minge Xie, Rutgers University; Yilei Zhan, Rutgers University; Sijian Wang, Rutgers University
9:00 AM
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A Mathematical Framework for Uncertainty Quantification in Multimodal Image Analysis via Probabilistic Clustering Models
Maximillian Chen, Sandia National Laboratories; David John Stracuzzi, Sandia National Laboratories; Michael Christopher Darling, Sandia National Laboratories
9:20 AM
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Visualizing Clustering and Uncertainty Analysis of Multivariate Time-Series Data
Kristin Divis, Sandia National Laboratories; Maximillian Chen, Sandia National Laboratories; Laura A McNamara, Sandia National Laboratories; Dan Morrow, Sandia National Laboratories
9:35 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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Some Thoughts on Joint Probability Method (JPM) for Estimating Storm Surges
Whitney Huang, Statistical and Applied Mathematical Sciences Institute
10:55 AM
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