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Title: Sensitivity Analysis of Strength Models Using Bayesian Adaptive Splines

Conference ·
DOI:https://doi.org/10.1063/1.5044954· OSTI ID:1393351

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC52-07NA27344
OSTI ID:
1393351
Report Number(s):
LLNL-PROC-737638
Resource Relation:
Journal Volume: 1979; Conference: Presented at: 20th Biennial APS Conference on Shock Compression of Condensed Matter, St. Louis, MO, United States, Jul 09 - Jul 14, 2017
Country of Publication:
United States
Language:
English

References (8)

Regression Shrinkage and Selection Via the Lasso journal January 1996
Sobol' Indices and Shapley Value journal January 2014
A Review on Global Sensitivity Analysis Methods book January 2015
Sensitivity Analysis and Emulation for Functional Data using Bayesian Adaptive Splines journal January 2017
Making best use of model evaluations to compute sensitivity indices journal May 2002
How to avoid a perfunctory sensitivity analysis journal December 2010
Multivariate Adaptive Regression Splines journal March 1991
Model of plastic deformation for extreme loading conditions journal January 2003