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Keyword Search Criteria: Uncertainty returned 53 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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An Adaptive Test of Significance in the Presence of Uncertainty in the Timing of the Final Analysis
Jeremy Gorelick, Edwards Lifesciences
2:35 PM
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The Intergovernmental Panel on Climate Change (IPCC) and the Role of Statisticians
Francis William Zwiers, Pacific Climate Impacts Consortium, University of Victoria
4:05 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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A Note on Managing Uncertainty About Source Release Height After an Accident
Ali Gargowm, United Arab Emirates Univ / College of Business & Economics
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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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Computing Mean Partition and Assessing Uncertainty for Clustering Analysis
Beomseok Seo, Penn State University; Lin Lin, The Pennsylvania State University; Jia Li, Penn State University
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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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The Impact of Bias and Uncertainty of Weather Forecasts on Storm Events
Mary Frances Dorn, Los Alamos National Laboratory; Kimberly Kaufeld, 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 in the Design Stage of Two-Stage Bayesian Propensity Score Analysis
Shirley Liao
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Uncertainty in Probabilistic Weighted Multidimensional Scaling
Lata Kodali; Leanna House, Virginia Tech
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Assessing the Uncertainty Due to Chemicals Below the Detection Limit in Chemical Mixture Estimation
Paul Hargarten, VCU; David C. Wheeler, Virginia Commonwealth University
9:05 AM
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The Impact of Bias and Uncertainty of Weather Forecasts on Storm Events
Mary Frances Dorn, Los Alamos National Laboratory; Kimberly Kaufeld, Los Alamos National Laboratory
9:10 AM
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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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Uncertainty in the Design Stage of Two-Stage Bayesian Propensity Score Analysis
Shirley Liao
10:50 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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Modeling Uncertainty in Physical Security Systems
Aparna Huzurbazar, Los Alamos National Laboratory
11:15 AM
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Uncertainty Quantification of Injury Risk Measures
Dorin Drignei, Oakland University
11:35 AM
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Uncertainty in Probabilistic Weighted Multidimensional Scaling
Lata Kodali; Leanna House, Virginia Tech
12:10 PM
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Phase I Designs That Allow for Uncertainty in the Attribution of Adverse Events
Alexia Iasonos, Memorial Sloan Kettering Cancer Center; John O'Quigley, Universit'e Pierre et Marie Curie,
2:35 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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CiTools: Quantifying Uncertainty for Statistical Models in R
Matthew Avery
3:25 PM
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Tuesday, 07/31/2018
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Uncertainty vs. Ambiguity in Structured Benefit-Risk (BR) Assessment Decisions
Shahrul Mt-Isa, Merck
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Interpretable Statistical Machine Learning for Validation and Uncertainty Quantification of Complex Models
Ana Kupresanin, Lawrence Livermore National Laboratory
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Phase I Designs That Allow for Uncertainty in the Attribution of Adverse Events
Alexia Iasonos, Memorial Sloan Kettering Cancer Center; John O'Quigley, Universit'e Pierre et Marie Curie,
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Uncertainty Estimates for Population Attributable Fractions
Breda Munoz, RTI International
8:35 AM
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Bayesian Probabilistic Numerical Methods
Jonathan Cockayne
8:55 AM
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Data-Driven Modeling and Forecast of Noisy Nonlinear Dynamics
Kyongmin Yeo, IBM T.J. Watson Research Center; Youngdeok Hwang, Sungkyunkwan University; Eun Kyung Lee, IBM T.J. Watson Research Center
10:35 AM
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Uncertainty in the Design Stage of Observational Studies
Matthew Cefalu, RAND Corporation; Corwin Zigler, Harvard T.H. Chan School of Public Health
10:55 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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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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Wednesday, 08/01/2018
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A Latent Class Analysis to Identify Subgroups of Heart Failure Under Missingness And/Or Uncertainty in the Indicator Variables
Wendimagegn Alemayehu, University of Alberta; Cynthia M Westerhout, University of Alberta; Jason R Dyck, University of Alberta; Todd Anderson, University of Calgary; Justin A Ezekowitz, University of Alberta
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Visualizing Uncertainty for the General Public
Edward Mulrow, NORC at the University of Chicago
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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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Accounting for Gene Expression Quantification Uncertainty Leads to Improved Performance in Differential Splicing Analysis
Scott Van Buren, University of North Carolina at Chapel Hill; Naim Rashid, UNC Chapel Hill
8:50 AM
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Improving Probabilistic Record Linkage: Accurate Links, Probabilities, and Measures of Uncertainty
Bradley Spahn, Stanford University; Brendan McVeigh, Carnegie Mellon University; Jared S Murray, University of Texas at Austin
9:15 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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Bayesian Uncertainty Directed Trial Designs
Lorenzo Trippa, Harvard
11:05 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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