Open AccessAnalyzing Stochastic Computer Models: A Review with Opportunities
Author(s) -
Evan Baker,
Pierre Barbillon,
Arindam Fadikar,
Robert B. Gramacy,
Radu Herbei,
David Higdon,
Jiangeng Huang,
Leah R. Johnson,
Pulong Ma,
Anirban Mondal,
Bianica Pires,
Jerome Sacks,
Vadim Sokolov
Publication year - 2022
Publication title -
statistical science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.204
H-Index - 108
eISSN - 2168-8745
pISSN - 0883-4237
DOI - 10.1214/21-sts822
Subject(s) - computer science , relevance (law) , thriving , data science , stochastic modelling , process (computing) , management science , computational statistics , theoretical computer science , stochastic process , variance (accounting) , machine learning , programming language , mathematics , statistics , engineering , social science , accounting , sociology , political science , law , business
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