Optimal Bayesian Experimental Design for Priors of Compact Support with Application to Shock-Tube Experiments for Combustion Kinetics: Optimal Bayesian Experimental Design for Priors of Compact Support

Journal article

Peer reviewed

Fabrizio Bisetti, Daesang Kim, Omar Knio, Quan Long and Raul Tempone

International journal for numerical methods in engineering, Vol.108(2), pp.136-155

12/10/2016

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Title: Optimal Bayesian Experimental Design for Priors of Compact Support with Application to Shock-Tube Experiments for Combustion Kinetics
Creators - without role: Fabrizio Bisetti - King Abdullah University of Science and Technology
Daesang Kim - King Abdullah University of Science and Technology
Omar Knio - King Abdullah University of Science and Technology
Quan Long - King Abdullah University of Science and Technology
Raul Tempone - King Abdullah University of Science and Technology
Publication Details: International journal for numerical methods in engineering, Vol.108(2), pp.136-155
Identifiers: 9945283108331
Academic Unit: King Abdullah University of Science & Technology
Language: English
Resource Type: Journal article