Keyword Search
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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Uncertainty returned 40 record(s)
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Sunday, 07/30/2017
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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
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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
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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
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Nonparametric Functional Calibration of Computer Models
Andrew Brown, Clemson University; Sez Atamturktur, Glenn Department of Civil Engineering, Clemson University
5:05 PM
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Monday, 07/31/2017
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Design of Experiment for Big Data Era
Dennis K.J. Lin, Penn State University
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Classification-Based Uncertainty in Estimating Surveillance-Based Prevalence
Clinton Alverson, CDC/NCBDDD/DCDD/BDB
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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
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Bayesian Estimation and Uncertainty Quantification in Differential Equation Models
Prithwish Bhaumik, Quantifind Inc.
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Uncertainty Quantification for Network Regression
Frank W Marrs, Colorado State University; Bailey Fosdick, Colorado State University; Tyler McCormick, University of Washington
8:35 AM
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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
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The Need and Methods for Routine Inclusion of Model Uncertainty in Statistical Results
Hsin-wen Chang; Hariharan Iyer, National Institute of Standards and Technology; Yi-Ching Yao, Institute of Statistical Science, Academia Sinica
8:55 AM
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Model Uncertainty: Conservative Propagation Through Polynomial Regressions with Unknown Structure
Scott Ferson, Insitute for Risk and Uncertainty, University of Liverpool
9:15 AM
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Bayesian Estimation and Uncertainty Quantification in Differential Equation Models
Prithwish Bhaumik, Quantifind Inc.
9:55 AM
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Prediction Uncertainty for Autocorrelated Lognormal Data with Random Effects
Matthew Avery
2:20 PM
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Alternative Methods to Estimate Pooled Effect Size and Its Uncertainty in Meta-Analysis
Alok Dwivedi, Texas Tech University Health Sciences Center El Paso; Mona Pathak, All India Institute of Medical Sciences; Sada Nand Dwivedi, All India Institute of Medical Sciences; Rakesh Shukla, University of Cincinnati
2:50 PM
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Tuesday, 08/01/2017
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Design Specifications of Performance for an Analytical Laboratory Method
Beimar Iriarte, Abbott Laboratories
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Marginalization Over Uncertainty in Propensity Score Design Using Bayesian Analysis
Shirley Liao; Corwin Zigler, Harvard University
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Quantifying Uncertainty in Latent Dirichlet Allocation
Christine Chai, Duke University
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Uncertainty Quantification for Remote Sensing Data
Amy Braverman, Jet Propulsion Laboratory; Jonathan Hobbs, Jet Propulsion Laboratory
8:55 AM
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Stability, Uncertainty, and Bayesian Learning
Chris Holmes, University of Oxford
9:00 AM
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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
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Quantifying Uncertainty in Latent Dirichlet Allocation
Christine Chai, Duke University
11:00 AM
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Marginalization Over Uncertainty in Propensity Score Design Using Bayesian Analysis
Shirley Liao; Corwin Zigler, Harvard University
11:50 AM
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Probabilistic Numerical Computation: A Role for Statisticians in Numerical Analysis?
Mark Girolami, Imperial College London
2:05 PM
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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
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Gaussian Mixture Modeling Under Measurement Uncertainty
Shuchismita Sarkar, University of Alabama; Volodymyr Melnykov, The University of Alabama; Rong Zheng, University of Alabama
3:35 PM
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Wednesday, 08/02/2017
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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
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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
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Statistical Challenges and Opportunities with Remote Sensing Data
Jonathan Hobbs, Jet Propulsion Laboratory
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Analysis of Data from Complex Chemical Experiments: Application of Bayesian Hierarchical Models
Blaza Toman, NIST
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Calibration, Uncertainty Quantification, and Propagation for Large Scale Systems
K. Bhat, Los Alamos National Laboratory
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Sequential Optimal Experimental Design Using Adaptive Transport Maps
Xun Huan, Sandia National Laboratories; Youssef Marzouk, Massachusetts Institute of Technology
9:15 AM
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Challenges in Identifying and Addressing Sources of Uncertainty in Species classifications of Acoustic bat Calls Used for Monitoring
Katharine Banner, Montana State University; Kathi Irvine, US Geological Survey; Tom Rodhouse, National Park Service; Andrea Litt, Montana State University; Wilson Wright, US Geological Survey
9:35 AM
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Forward Modeling: It's Essential for Palaeoclimatology
Andrew C Parnell, University College Dublin
10:35 AM
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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
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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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Regret Bounds for Adaptive Control of Linear Quadratic Systems
Mohamad Kazem Shirani Faradonbeh, University of Michigan; Ambuj Tewari, University of Michigan; George Michailidis, University of Florida
11:25 AM
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Identification of Dynamic Traffic Network: a Statistical Approach
Xilei Zhao, Johns Hopkins University; James C Spall, Applied Physics Laboratory
12:05 PM
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Mesoscale Spatial Forecast Verification Over Complex Terrain
Eric Gilleland, NCAR; Manfred Dorninger, University of Vienna; Marion Mittermaier, MetOffice, U.K.; Barbara G. Brown, NCAR; Elizabeth E. Ebert, Bureau of Meteorology; Barbara Casati, Environment Canada; Laurence Wilson, Environment Canada
2:05 PM
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