{"id":37,"date":"2017-11-18T10:45:30","date_gmt":"2017-11-18T10:45:30","guid":{"rendered":"http:\/\/blog.metu.edu.tr\/yucelh\/?page_id=37"},"modified":"2018-01-11T14:11:40","modified_gmt":"2018-01-11T14:11:40","slug":"uncertainty-quantification","status":"publish","type":"page","link":"https:\/\/blog.metu.edu.tr\/yucelh\/uncertainty-quantification\/","title":{"rendered":"Uncertainty Quantification"},"content":{"rendered":"

Welcome<\/strong> to the Uncertainty Quantification Group, in the Institute of Applied Mathematics at METU.<\/p>\n

Uncertainty quantification (UQ) is a modern inter-disciplinary science that cuts across traditional research groups and combines statistics, numerical analysis and computational applied mathematics. When we attempt to simulate complex real-world phenomena, e.g., fluid dynamics, climate science, chemically reacting systems, oil field research, the price of stock pricing, using mathematical and computer models, there is almost always uncertainty in our predictions. The idea of uncertainty quantification (UQ), i.e. quantifying the effects of uncertainty on the result of a computation, has attracted much interest in the last few years. The objective is usually that of propagating quantitative information on the data through a computation to the solution. Our research focuses on advancing fundamental computational methodology for UQ and statistical inference in complex physical systems.<\/p>\n

The aim of this research group is to answer the following core questions?<\/p>\n