![]() |
COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. | ![]() |
University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Optimal Uncertainty Quantification
![]() Optimal Uncertainty QuantificationAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Mustapha Amrani. Turing Gateway to Mathematics Uncertainty Quantification lies at the interface of applied mathematics, probability, computation and applied sciences, and has been called ``the end-to-end study of the reliability of scientific inferences.’’ It is the understanding of how information (or uncertainty) propagates through systems to produce information (or uncertainty) about output quantities of interest (e.g. structural failure risks or financial portfolio returns), and corresponding inverse problems. In many real-world applications, this information propagation spans multiple components or scales and is probabilistic in nature, but is complicated by non-negligible uncertainty about which probability distributions and models are the ``correct’’ ones. In the Optimal UQ (OUQ) framework, these problems are formalized as optimization problems over infinite-dimensional feasible sets of probability measures and transfer functions. This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsKing's Review Home Cambridge Centre for Data-Driven Discovery (C2D3)Other talksMartin Roth: »Widerrede!« SciBar: Sleep, Dreams and Consciousness Effective Conference Presentations and Networking Time Reversal Symmetries and the Simulation of Charge Transport in an External Magnetic Field Feeding your genes: The impact of nitrogen availability on gene and genome sequence evolution |