Sensitivity Analysis of Strength Models Using Bayesian Adaptive Splines

Schmidt, K; Bernstein, J; Barton, N; Florando, J; Kupresanin, A

doi:10.1063/1.5044954

Title: Sensitivity Analysis of Strength Models Using Bayesian Adaptive Splines

Authors:: Schmidt, K; Bernstein, J; Barton, N; Florando, J; Kupresanin, A

Publication Date:: Wed Aug 23 00:00:00 EDT 2017

Research Org.:: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1393351

Report Number(s):: LLNL-PROC-737638
Journal ID: ISSN 0094-243X

DOE Contract Number:: AC52-07NA27344

Resource Type:: Conference

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

Subject:: 36 MATERIALS SCIENCE; 97 MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE

Citation Formats


                    Schmidt, K, Bernstein, J, Barton, N, Florando, J, and Kupresanin, A. Sensitivity Analysis of Strength Models Using Bayesian Adaptive Splines.  United States: N. p., 2017. 
        Web.  doi:10.1063/1.5044954.

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                    Schmidt, K, Bernstein, J, Barton, N, Florando, J, & Kupresanin, A. Sensitivity Analysis of Strength Models Using Bayesian Adaptive Splines.  United States.  https://doi.org/10.1063/1.5044954

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                    Schmidt, K, Bernstein, J, Barton, N, Florando, J, and Kupresanin, A. 2017.  
        "Sensitivity Analysis of Strength Models Using Bayesian Adaptive Splines".  United States.  https://doi.org/10.1063/1.5044954.  https://www.osti.gov/servlets/purl/1393351.

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@article{osti_1393351,

  title        = {Sensitivity Analysis of Strength Models Using Bayesian Adaptive Splines},

  author       = {Schmidt, K and Bernstein, J and Barton, N and Florando, J and Kupresanin, A},

  abstractNote = {},

  doi          = {10.1063/1.5044954},

  url          = {https://www.osti.gov/biblio/1393351},
  journal      = {},

  issn         = {0094-243X},

  number       = ,

  volume       = 1979,

  place        = {United States},

  year         = {Wed Aug 23 00:00:00 EDT 2017},

  month        = {Wed Aug 23 00:00:00 EDT 2017}

}

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https://doi.org/10.1063/1.5044954

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Works referenced in this record:

Regression Shrinkage and Selection Via the Lasso
journal, January 1996

Tibshirani, Robert
Journal of the Royal Statistical Society: Series B (Methodological), Vol. 58, Issue 1
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Sobol' Indices and Shapley Value
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Owen, Art B.
SIAM/ASA Journal on Uncertainty Quantification, Vol. 2, Issue 1
https://doi.org/10.1137/130936233

A Review on Global Sensitivity Analysis Methods
book, January 2015

Iooss, Bertrand; Lemaître, Paul
Uncertainty Management in Simulation-Optimization of Complex Systems
https://doi.org/10.1007/978-1-4899-7547-8_5

Sensitivity Analysis and Emulation for Functional Data using Bayesian Adaptive Splines
journal, January 2017

Francom,, Devin; Sanso, Bruno; Kupresanin, Ana
Statistica Sinica
https://doi.org/10.5705/ss.202016.0130

Making best use of model evaluations to compute sensitivity indices
journal, May 2002

Saltelli, Andrea
Computer Physics Communications, Vol. 145, Issue 2
https://doi.org/10.1016/S0010-4655(02)00280-1

How to avoid a perfunctory sensitivity analysis
journal, December 2010

Saltelli, Andrea; Annoni, Paola
Environmental Modelling & Software, Vol. 25, Issue 12
https://doi.org/10.1016/j.envsoft.2010.04.012

Multivariate Adaptive Regression Splines
journal, March 1991

Friedman, Jerome H.
The Annals of Statistics, Vol. 19, Issue 1
https://doi.org/10.1214/aos/1176347963

Model of plastic deformation for extreme loading conditions
journal, January 2003

Preston, Dean L.; Tonks, Davis L.; Wallace, Duane C.
Journal of Applied Physics, Vol. 93, Issue 1
https://doi.org/10.1063/1.1524706

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Title: Sensitivity Analysis of Strength Models Using Bayesian Adaptive Splines

Citation Formats

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

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