| contributor author | Sullivan, T. J. | |
| contributor author | McKerns, M. | |
| contributor author | Ortiz, M. | |
| contributor author | Owhadi, H. | |
| contributor author | Scovel, C. | |
| date accessioned | 2017-05-09T01:01:39Z | |
| date available | 2017-05-09T01:01:39Z | |
| date issued | 2013 | |
| identifier issn | 1932-6181 | |
| identifier other | med_007_04_040920.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/152820 | |
| description abstract | We discuss recent mathematical and computational results on uncertainty quantification (UQ) in the presence of uncertainty about the correct probabilistic and physical models. Such UQ problems can be formulated as constrained optimization problems with information acting as the constraints, with consequent optimal assessments of risk, and advantages for interdisciplinary communication and open science. We also report consequences of this point of view for the robustness of Bayesian methods under prior perturbation. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Optimal Uncertainty Quantification: Distributional Robustness Versus Bayesian Brittleness | |
| type | Journal Paper | |
| journal volume | 7 | |
| journal issue | 4 | |
| journal title | Journal of Medical Devices | |
| identifier doi | 10.1115/1.4025786 | |
| journal fristpage | 40920 | |
| journal lastpage | 40920 | |
| identifier eissn | 1932-619X | |
| tree | Journal of Medical Devices:;2013:;volume( 007 ):;issue: 004 | |
| contenttype | Fulltext | |