Discussion: “Bayesian Optimal Design of Experiments for Inferring the Statistical Expectation of Expensive Black-Box Functions” (Pandita, P., Bilionis, I., and Panchal, J., 2019, ASME J. Mech. Des., 141(10), p. 101404)Source: Journal of Mechanical Design:;2021:;volume( 144 ):;issue: 005::page 55501-1DOI: 10.1115/1.4053112Publisher: The American Society of Mechanical Engineers (ASME)
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contributor author | Gong, Xianliang | |
contributor author | Pan, Yulin | |
date accessioned | 2022-05-08T08:27:31Z | |
date available | 2022-05-08T08:27:31Z | |
date copyright | 12/17/2021 12:00:00 AM | |
date issued | 2021 | |
identifier issn | 1050-0472 | |
identifier other | md_144_5_055501.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4283946 | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Discussion: “Bayesian Optimal Design of Experiments for Inferring the Statistical Expectation of Expensive Black-Box Functions” (Pandita, P., Bilionis, I., and Panchal, J., 2019, ASME J. Mech. Des., 141(10), p. 101404) | |
type | Journal Paper | |
journal volume | 144 | |
journal issue | 5 | |
journal title | Journal of Mechanical Design | |
identifier doi | 10.1115/1.4053112 | |
journal fristpage | 55501-1 | |
journal lastpage | 55501-3 | |
page | 3 | |
tree | Journal of Mechanical Design:;2021:;volume( 144 ):;issue: 005 | |
contenttype | Fulltext |