skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A Bayesian approach for parameter estimation and prediction using a computationally intensive model

Authors:
; ; ; ;
Publication Date:
Research Org.:
Oak Ridge National Laboratory, Oak Ridge Leadership Computing Facility (OLCF); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
OSTI Identifier:
1407869
Report Number(s):
LA-UR-14-26925
Journal ID: ISSN 0954-3899
Grant/Contract Number:  
AC52-06NA25396
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Physics. G, Nuclear and Particle Physics
Additional Journal Information:
Journal Volume: 42; Journal Issue: 3; Journal ID: ISSN 0954-3899
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English

Citation Formats

Higdon, Dave, McDonnell, Jordan D., Schunck, Nicolas, Sarich, Jason, and Wild, Stefan M. A Bayesian approach for parameter estimation and prediction using a computationally intensive model. United States: N. p., 2015. Web. doi:10.1088/0954-3899/42/3/034009.
Higdon, Dave, McDonnell, Jordan D., Schunck, Nicolas, Sarich, Jason, & Wild, Stefan M. A Bayesian approach for parameter estimation and prediction using a computationally intensive model. United States. doi:10.1088/0954-3899/42/3/034009.
Higdon, Dave, McDonnell, Jordan D., Schunck, Nicolas, Sarich, Jason, and Wild, Stefan M. Thu . "A Bayesian approach for parameter estimation and prediction using a computationally intensive model". United States. doi:10.1088/0954-3899/42/3/034009. https://www.osti.gov/servlets/purl/1407869.
@article{osti_1407869,
title = {A Bayesian approach for parameter estimation and prediction using a computationally intensive model},
author = {Higdon, Dave and McDonnell, Jordan D. and Schunck, Nicolas and Sarich, Jason and Wild, Stefan M.},
abstractNote = {},
doi = {10.1088/0954-3899/42/3/034009},
journal = {Journal of Physics. G, Nuclear and Particle Physics},
number = 3,
volume = 42,
place = {United States},
year = {2015},
month = {2}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 12 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

Bayesian calibration of computer models
journal, August 2001

  • Kennedy, Marc C.; O'Hagan, Anthony
  • Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 63, Issue 3
  • DOI: 10.1111/1467-9868.00294

Combining Field Data and Computer Simulations for Calibration and Prediction
journal, January 2004

  • Higdon, Dave; Kennedy, Marc; Cavendish, James C.
  • SIAM Journal on Scientific Computing, Vol. 26, Issue 2
  • DOI: 10.1137/S1064827503426693

A Framework for Validation of Computer Models
journal, May 2007


Design and Analysis of Computer Experiments
journal, November 1989

  • Sacks, Jerome; Welch, William J.; Mitchell, Toby J.
  • Statistical Science, Vol. 4, Issue 4
  • DOI: 10.1214/ss/1177012413

Probabilistic sensitivity analysis of complex models: a Bayesian approach
journal, August 2004

  • Oakley, Jeremy E.; O'Hagan, Anthony
  • Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 66, Issue 3
  • DOI: 10.1111/j.1467-9868.2004.05304.x

Modeling Data from Computer Experiments: An Empirical Comparison of Kriging with MARS and Projection Pursuit Regression
journal, October 2007


Error analysis in nuclear density functional theory
journal, February 2015

  • Schunck, Nicolas; McDonnell, Jordan D.; Sarich, Jason
  • Journal of Physics G: Nuclear and Particle Physics, Vol. 42, Issue 3
  • DOI: 10.1088/0954-3899/42/3/034024

Nuclear energy density optimization
journal, August 2010


Nuclear energy density optimization: Large deformations
journal, February 2012


Screening, Predicting, and Computer Experiments
journal, February 1992

  • Welch, William J.; Buck, Robert. J.; Sacks, Jerome
  • Technometrics, Vol. 34, Issue 1
  • DOI: 10.2307/1269548

Bayesian analysis of computer code outputs: A tutorial
journal, October 2006


Cosmic Calibration
journal, July 2006

  • Heitmann, Katrin; Higdon, David; Nakhleh, Charles
  • The Astrophysical Journal, Vol. 646, Issue 1
  • DOI: 10.1086/506448

Inferring climate system properties using a computer model
journal, March 2008

  • Sansó, Bruno; Forest, Chris E.; Zantedeschi, Daniel
  • Bayesian Analysis, Vol. 3, Issue 1
  • DOI: 10.1214/08-BA301

Orthogonal Array-Based Latin Hypercubes
journal, December 1993


Efficient Emulators for Multivariate Deterministic Functions
journal, December 2008


Using Statistical and Computer Models to Quantify Volcanic Hazards
journal, November 2009


Computer Model Calibration Using High-Dimensional Output
journal, June 2008

  • Higdon, Dave; Gattiker, James; Williams, Brian
  • Journal of the American Statistical Association, Vol. 103, Issue 482
  • DOI: 10.1198/016214507000000888

Bayesian Computation and Stochastic Systems
journal, February 1995

  • Besag, Julian; Green, Peter; Higdon, David
  • Statistical Science, Vol. 10, Issue 1
  • DOI: 10.1214/ss/1177010123

Equation of State Calculations by Fast Computing Machines
journal, June 1953

  • Metropolis, Nicholas; Rosenbluth, Arianna W.; Rosenbluth, Marshall N.
  • The Journal of Chemical Physics, Vol. 21, Issue 6
  • DOI: 10.1063/1.1699114

Monte Carlo sampling methods using Markov chains and their applications
journal, April 1970