Cedric Jean-Marie Sallaberry

Author

Also Known As

C. J. Sallaberry, C.J. Sallaberry, Cedric J. Sallaberry, Cedric Jean-Marie Sallaberry, Cédric J. Sallaberry, Sallaberry, Cedric, Sallaberry, Cedric Jean-Marie, Sallaberry, Cedric Jean-Marie.; Helton, Jon Craig, Sallaberry, Cedric Jean-Marie; Stein, Joshua.; Walsh, Bob; Miller, Steve

Publications

2.5K

Citations

H-Index

Concepts

All Affiliations

Sandia National Laboratories Arizona State University Sandia National Laboratories California Southern Nevada Water Authority Navarro College

About

Cedric Jean-Marie Sallaberry is an author at Sandia National Laboratories specializing in engineering, nuclear waste management, and uncertainty quantification.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	15	25	2.3K
2	Biostatistics	4	4	262
3	Management	3	3	163
4	Medicine	3	3	76
5	Public Health	1	1	79

Cedric Jean-Marie Sallaberry

Publications

2.4K

Citations

H-Index

Page 1

	Year	Citations
Survey of sampling-based methods for uncertainty and sensitivity analysis J.C. Helton, Jay Johnson, Cedric Jean-Marie Sallaberry, Reliability Engineering & System Safety EngineeringUncertainty QuantificationSensitivity AnalysisUncertain DataUncertainty Modeling	2006	1.2K
Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models Curtis B. Storlie, Laura Swiler, J.C. Helton, Reliability Engineering & System Safety Parametric ProgrammingNonparametric Regression ProceduresEngineeringUncertainty QuantificationParameter Tuning	2009	316
Representation of analysis results involving aleatory and epistemic uncertainty J.C. Helton, Jay Johnson, William L. Oberkampf, International Journal of General Systems ReliabilityEngineeringUncertainty ModelingUncertainty QuantificationAleatory Uncertainty	2010	152
Extension of Latin hypercube samples with correlated variables Cedric Jean-Marie Sallaberry, J.C. Helton, Stephen C. Hora Reliability Engineering & System Safety Multidimensional AnalysisLatin Hypercube SamplesStatistical InferenceMultivariate AnalysisStatistics	2007	109
Sensitivity analysis in conjunction with evidence theory representations of epistemic uncertainty J.C. Helton, Jay Johnson, William L. Oberkampf, Reliability Engineering & System Safety ReliabilityCognitive ScienceEngineeringAutomated ReasoningUncertainty Quantification	2006	108
Application of principal component analysis (PCA) and improved joint probability distributions to the inverse first-order reliability method (I-FORM) for predicting extreme sea states Aubrey Celia Eckert-Gallup, Cedric Jean-Marie Sallaberry, Ann Dallman, Ocean Engineering ReliabilitySubsea SystemReliability EngineeringExtreme Sea StatesEngineering	2016	79
Conceptual basis for the definition and calculation of expected dose in performance assessments for the proposed high-level radioactive waste repository at Yucca Mountain, Nevada J.C. Helton, Cedric Jean-Marie Sallaberry Reliability Engineering & System Safety Nuclear Waste ManagementEngineeringCivil EngineeringRadioactive ContaminationRadioactive Waste	2008	42
Quantification of margins and uncertainties: Example analyses from reactor safety and radioactive waste disposal involving the separation of aleatory and epistemic uncertainty J.C. Helton, Jay Johnson, Cedric Jean-Marie Sallaberry Reliability Engineering & System Safety ReliabilityHigh UncertaintyEngineeringMeasurementUncertainty Quantification	2011	40
Use of replicated Latin hypercube sampling to estimate sampling variance in uncertainty and sensitivity analysis results for the geologic disposal of radioactive waste Clifford Hansen, J.C. Helton, Cedric Jean-Marie Sallaberry Reliability Engineering & System Safety HydrogeologyNuclear Waste ManagementEnvironmental MonitoringEngineeringPassive Sampling	2011	37
Analysis of computationally demanding models with continuous and categorical inputs Curtis B. Storlie, Brian J. Reich, J.C. Helton, Reliability Engineering & System Safety Mathematical ProgrammingComputational ScienceEngineeringMachine LearningAutomated Reasoning	2012	37

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