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Sensitivity Analysis of Model Output
Proceedings of the 4th International Conference on
Sensitivity Analysis of Model Output (SAMO 2004)
Santa Fe, New Mexico, March 8-11, 2004.
Edited by Kenneth M. Hanson and François M. Hemez
The theme of the SAMO conference series has been the study of the variation in the output of a model caused by variations in inputs variables, parameters, and factors related to numerical-solution methods. Especially highlighted at this meeting was the importance of the quantification of the total uncertainty in model prediction.
These web pages constitute the full proceedings, which are available in a single file (519 pages, 12.5MB): Full Text: PDF
The conference web pages, which include photos taken during the conference, are maintained by the Statistical Sciences Group. (http://www.stat.lanl.gov/SAMO2004/)
Search SAMO 2004
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Participants
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Input Screening: Finding the Important Inputs on a Budget (Tutorial)
Max D. Morris
pp. 1-6
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The Evaluation of Combustion Mechanisms Using Local and Global Sensitivity and Uncertainty Methods
Alison S. Tomlin
pp. 7-16
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Application of MCMC - Global Sensitivity Analysis for Model Calibration to Urban Runoff Modeling
Assem Kanso; B. Tassin, G. Chebbo
pp. 17-26
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Global Sensitivity Analysis: An Introduction (Tutorial)
Andrea Saltelli
pp. 27-43
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Sensitivity Analysis of the e-Business Readiness Composite Indicator
S. Tarantola, M. Nardo, A. Saltelli, I. Kioutsioukis, R. Liska
pp. 44-53
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Sensitivity Indices for Imprecise Probability Distributions
Jim W. Hall
pp. 54-60
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Accelerated Estimation of Sensitivity Indices Using State Dependent Parameter Models
Marco Ratto, Stefano Tarantola, Andrea Saltelli and Peter C. Young
pp. 61-70
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Sensitivity Analysis of Monte Carlo Estimates from Computer Models in the Presence of Epistemic and Aleatory Uncertainties
Bernard Krzykacz-Hausmann
pp. 71-80
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Sensitivity Analysis When Model Outputs Are Functions (Tutorial)
Michael D. McKay, Katherine S. Campbell, Brian J. Williams
pp.81-89
LA-UR-04-0167
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Decision-theoretic Sensitivity Analysis Using Value of Information
Jeremy Oakley
pp. 90-95
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A Second-order Differential Importance Measure for Reliability and Risk Applications
Enrico Zio, Luca Podofillini
pp. 96-105
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A Response-Modeling Alternative to Surrogate Models for Support in Computational Analyses
Brian Rutherford
pp. 106-115
SAND-2004-0254C
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Local Analysis of Parameter Covariances Resulting From the Calibration of an Over-parameterized Water Quality Model
Ulrich Callies, M. Scharfe
pp. 116-125
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Inference About the Plastic Behavior of Materials From Experimental Data
Kenneth M. Hanson
pp. 126-136
LA-UR-04-0304
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Comments on GLUE
Renata Romanowicz, Keith Beven
pp. 137-146
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A Bayesian Analysis of Complex Dynamic Computer Models
Stefano Conti, Clive W. Anderson, Marc C. Kennedy, Anthony O'Hagan
pp. 147-156
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Validation and Error Estimation of Computational Models
Ramesh Rebba, Sankaran Mahadevan, Shuping Huang
pp. 157-169
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Probabilistic Inversion for Chicken Processing Lines (Tutorial)
Roger M. Cooke, Maarten Nauta, Arie H. Havelaar, Ine van der Fels
pp. 170-180
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The Good, the Bad, and the Ugly of Predictive Science
Fran�ois M. Hemez; Yakov Ben-Haim
pp. 181-193
LA-UR-03-8492
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Our Calibrated Model Has no Predictive Value: An Example From the Petroleum Industry
Jonathan N. Carter, P. J. Ballester, Z. Tavassoli, P. R. King
pp. 194-200
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Towards Guidance in Assessing and Communicating Uncertainties
Peter H.M. Janssen, Arthur C. Petersen; Jeroen van der Sluijs;James S. Risbey; Jerome R. Ravetz
pp. 201-210
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Probability Bounds Analysis is a Global Sensitivity Analysis
Scott Ferson, J. Hajagos, W.T. Tucker
pp. 211-220
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Sampling-Based Methods for Uncertainty and Sensitivity Analysis (Tutorial)
Jon C. Helton
pp. 221-229
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Estimation Procedures and Error Analysis for Inferring the Total Plutonium Produced by a Graphite-moderated Reactor
Patrick G. Heasler, Bruce Reid, Christopher Gesh;Tom Burr; Charles Bayne
pp. 230-239
PNNL-14332
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Hydrocarbon Exploration Risk Evaluation Through Uncertainty and Sensitivity Analyses Techniques
Paolo Ruffo, Livia Bazzana, Alberto Consonni, Anna Corradi, Andrea Saltelli, Stefano Tarantola
pp. 240-249
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Model Validation in Chemical Process with Multiple Steady States
Carlos M. Villa, Jean-Paul Masy, Flor A. Castillo, Leigh H. Thompson, John W. Weston
pp. 250-259
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Response Surfaces and Sensitivity Analyses for an Environmental Model of Dose Calculations
Bertrand Iooss, Nicolas Devictor, Fran�ois Van Dorpe
pp. 260-269
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Simulation Error Models for Improved Reservoir Prediction
Alannah O'Sullivan, Mike Christie
pp. 270-287
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Local and Global Uncertainty Analysis of Complex Chemical Kinetic Systems
Judit Z�dor, Istv�n Gyula Zs�ly, Tam�s Tur�nyi
pp. 288-296
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Techniques for Quality Assurance of Models in a Multi-Run Simulation Environment
Michael Flechsig, U. B�hm, Th. Nocke, C. Rachimow
pp. 297-306
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Global Sensitivity Analysis for Calculating the Contribution of Genetic Parameters to the Variance of Crop Model Prediction
David Makowski, C�dric Naud, Herv� Monod, Marie-H�l�ne Jeuffroy, Aude Barbottin
pp. 307-316
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Sensitivity Analysis in Presence of Model Uncertainty and Correlated Inputs
Julien Jacques; Christian Lavergne; Nicolas Devictor
pp. 317-323
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Varying Correlation Coefficients Cannot Account for Uncertainty About Dependence, but There Are Comprehensive Methods to Do So
Scott Ferson
pp. 324-328
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Application of a Markov Chain Monte Carlo Calibration and Uncertainty Framework to a Process-based Integrated Nitrogen Model (INCA)
Bethanna M. Jackson, H. S. Wheater, N. McIntyre; P. Whitehead
pp. 329-340
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Validating Mathematical Models of Biological Systems: Application of the Concordance Correlation Coefficient
Normand R. St-Pierre
pp. 341-350
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On a Strategy of Reduction of the Lack of Knowledge in Model Validation
Pierre Ladev�ze; G. Puel; T. Romeuf
pp. 351-362
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Modeling Uncertainty in Population Biology: How the Model is Written Does Matter
Janos G. Hajagos
pp. 363-368
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Enhancing the Morris Method
Francesca Campolongo, J. Cariboni, A. Saltelli; W. Schoutens
pp. 369-379
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Initial Evaluation of Pure and "Latinized" Centroidal Voronoi Tessellation for Non-Uniform Statistical Sampling
Vicente J. Romero; John V. Burkardt, Max D. Gunzburger, Janet S. Peterson
pp. 380-401
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MCMC-based Sensitivity Estimations
Carlos Javier P�rez S�nchez, Jacinto Mart�n Jim�nez
pp. 402-409
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Sensitivity Analysis in Conjunction with Evidence Theory Representations of Epistemic Uncertainty
Jon C. Helton, J. D. Johnson, W. L. Oberkampf
pp. 410-420
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Combined Array Experiment Design
Leslie M. Moore, Michael D. McKay, Katherine S. Campbell
pp. 421-429
LA-UR-04-0374
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Halftoning and Quasi-Monte Carlo
Kenneth M. Hanson
pp. 430-442
LA-UR-04-0306
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Model Validation Methods for Phase Diagram Determination
Brian J. Reardon, Marius Stan
pp. 443-452
LA-UR-04-0360
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Approximate Representations of Random Intervals for Hybrid Uncertainty Quantification in Engineering Modeling
Cliff Joslyn; Scott Ferson
pp. 453-469
LA-UR-04-0908
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Designing Computer Experiments to Determine Robust Control Variables
Jeffrey S. Lehman; Thomas J. Santner, William I. Notz; Donald Bartel
pp. 470-472
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ASSA: Algorithms for Stochastic Sensitivity Analysis
Michiel J.W. Jansen
pp. 473-475
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Case Studies in Gaussian Process Modelling of Computer Codes
Marc C. Kennedy, Clive W. Anderson, Stefano Conti, Anthony O'Hagan
pp. 476-485
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Nonparametric Prior Elicitation
Jeremy Oakley, Anthony O'Hagan
pp. 486-491
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Stochastic Sensitivity Analysis for Computing Greeks
M. Kodal K. Ohmori, D. Yokomatsu, T. Amemiya
pp. 492-499
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