Fast Bayesian experimental design: Laplace-based importance sampling for the expected information gain
Work
Year: 2018
Type: article
Institutions King Abdullah University of Science and Technology, King Fahd University of Petroleum and Minerals, Hartford Financial Services (United States)
Cites: 22
Cited by: 74
Related to: 10
FWCI: 4.459
Citation percentile (by year/subfield): 99.98
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
Funders King Abdullah University of Science and Technology, King Abdullah University of Science and Technology
Grant IDS KAUST CRG3 Award Ref:2281, KAUST CRG4 Award Ref:2584