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Title: On‐site surrogates for large‐scale calibration

ORCiD logo [1];  [1];  [2];  [3]
  1. Department of Statistics Virginia Polytechnic Institute and State University College of Science Blacksburg Virginia
  2. Mathematics Computer Science Division Argonne National Laboratory Lemont Illinois
  3. Baker Hughes a GE Company Firenze Italy
Publication Date:
Sponsoring Org.:
OSTI Identifier:
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Applied Stochastic Models in Business and Industry
Additional Journal Information:
Journal Name: Applied Stochastic Models in Business and Industry Journal Volume: 36 Journal Issue: 2; Journal ID: ISSN 1524-1904
Wiley Blackwell (John Wiley & Sons)
Country of Publication:
United Kingdom

Citation Formats

Huang, Jiangeng, Gramacy, Robert B., Binois, Mickaël, and Libraschi, Mirko. On‐site surrogates for large‐scale calibration. United Kingdom: N. p., 2020. Web. doi:10.1002/asmb.2523.
Huang, Jiangeng, Gramacy, Robert B., Binois, Mickaël, & Libraschi, Mirko. On‐site surrogates for large‐scale calibration. United Kingdom.
Huang, Jiangeng, Gramacy, Robert B., Binois, Mickaël, and Libraschi, Mirko. Mon . "On‐site surrogates for large‐scale calibration". United Kingdom.
title = {On‐site surrogates for large‐scale calibration},
author = {Huang, Jiangeng and Gramacy, Robert B. and Binois, Mickaël and Libraschi, Mirko},
abstractNote = {},
doi = {10.1002/asmb.2523},
journal = {Applied Stochastic Models in Business and Industry},
number = 2,
volume = 36,
place = {United Kingdom},
year = {2020},
month = {3}

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