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Uncertainty quantification
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71	Bayesian uncertainty quantification and propagation for discrete element simulations of granular materials Add to Reading List Source URL: www.cse-lab.ethz.ch Language: English - Date: 2014-10-23 05:45:11 Bayes factor Bayesian inference Normal distribution Parameter Expectation–maximization algorithm Maximum likelihood Statistics Statistical theory Parametric model
72	Bayesian uncertainty quantification and propagation in molecular dynamics simulations: A high performance computing framework Panagiotis Angelikopoulos, Costas Papadimitriou, and Petros Koumoutsakos Citation: J. Chem. Ph Add to Reading List Source URL: www.cse-lab.ethz.ch Language: English - Date: 2012-11-15 12:28:26 Bayesian statistics Econometrics Statistical theory Confidence interval Bayes estimator Markov chain Likelihood function Normal distribution Regression analysis Statistics Estimation theory Statistical inference
73	Article pubs.acs.org/JPCB Data Driven, Predictive Molecular Dynamics for Nanoscale Flow Simulations under Uncertainty Panagiotis Angelikopoulos,† Costas Papadimitriou,‡ and Petros Koumoutsakos,† Add to Reading List Source URL: cse-lab.ethz.ch Language: English* - Date: 2014-02-11 19:45:20 Bayesian statistics Computational chemistry Molecular dynamics Molecular modelling Bayes factor Uncertainty analysis Calibration Uncertainty quantification Prior probability Statistics Measurement Operations research
74	PRISM Seminar Series – Fall 2012 “Bayesian Calibration of Dielectric Charging Model for RF-MEMS Devices” You Ling and Joshua Mullins Sankaran Mahadevan group Department of Civil & Environmental Engineering Vanderbi Add to Reading List Source URL: www.purdue.edu Language: English RF MEMS Uncertainty quantification Uncertainty Statistics Measurement Calibration
75	PRISM Seminar Series – Spring 2014 Dr. Paul G. Constantine Assistant Professor of Applied Mathematics and Statistics Colorado School of Mines Golden, Colorado Add to Reading List Source URL: www.purdue.edu Language: English Interpolation Kriging Multivariate interpolation Uncertainty quantification Subspace Mathematics Statistics Mathematical sciences Geostatistics
76	PRISM Seminar Series Friday, February 1st, [removed]:30 pm, BRK 1001 “A Framework for Uncertainty Quantification: Calibration, Validation, and Computational Resource Allocation” You Ling and Joshua Mullins Add to Reading List Source URL: www.purdue.edu Language: English Operations research Uncertainty quantification Uncertainty Accuracy and precision Regression model validation Statistics Measurement Statistical theory
77	NNSA PRISM Seminar Series – Fall 2008 Co‐sponsored by CCAM – Center for Computational and Applied Mathematics Uncertainty Quantification in Chemical Systems Habib N. Najm Add to Reading List Source URL: www.purdue.edu Language: English Livermore California Lockheed Martin Sandia National Laboratories United States Department of Energy National Laboratories Stochastic Scientific modelling Dynamics Uncertainty Statistics Epistemology Knowledge
78	Philip B. Stark – short CV Philip B. Stark is Professor and Chair of the Department of Statistics at the University of California, Berkeley. His research centers on inference problems and uncertainty quantification, w Add to Reading List Source URL: ec.europa.eu Language: English - Date: 2014-10-13 05:07:58 Academic publishing Preprint
79	A Process to Validate the Predictive Capability of the Environmental Design Space through Error Quantification and Uncertainty Propagation Peter A. Barros Jr., PhD Candidate Georgia Institute of Technology Research advi Add to Reading List Source URL: web.mit.edu Language: English - Date: 2008-05-07 14:30:20 Knowledge Measurement Calibration Metrology Standards Computer simulation Sensitivity analysis Verification and validation Science Scientific modeling Statistics
80	ASC Sequoia Advancing Technology for Uncertainty Quantification and Science at Scale Already ranked the world’s most powerful computing system, the new-generation National Nuclear Security Administration (NNSA) Add to Reading List Source URL: asc.llnl.gov Language: English - Date: 2012-10-02 12:30:28 Lawrence Livermore National Laboratory Parallel computing Livermore Valley United States Department of Energy National Laboratories IBM Sequoia Blue Gene Petascale Sequoia ASC Purple Computing Classes of computers Supercomputers

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