Chapter 5
1 Uncertainty in rainfall-runoff simulations An introduction and review of different techniques M. Shafii, Dept. Of Hydrology, Feb. 2009.
Southampton workshop, July 2009Slide 1 Tony O’Hagan, University of Sheffield Simulators and Emulators.
Durham workshop, July 2008Slide 1 Tony O’Hagan, University of Sheffield MUCM: An Overview.
Quantifying and managing uncertainty with Gaussian process emulators Tony O’Hagan University of Sheffield.
14 May 2008RSS Oxford1 Towards quantifying the uncertainty in carbon fluxes Tony O’Hagan University of Sheffield.
Issues Related to Parameter Estimation in Model Accuracy Assessment DDDAS: June 6-7, 2013 1 Tom Henderson & Narong Boonsirisumpun ICCS 2013 Barcelona,
Computational Psycholinguistics Lecture 1: Introduction, basic probability theory, incremental parsing Florian Jaeger & Roger Levy LSA 2011 Summer Institute.
Projecting uncertainty through nonlinear ODEs Youdong Lin 1, Mark Stadherr 1, George Corliss 2, Scott Ferson 3 1 University of Notre Dame 2 Marquette University.
Fire Model Uncertainty from a Regulatory Point of View Kevin McGrattan National Institute of Standards and Technology Gaithersburg, Maryland, USA.
PI: Prof. Nicholas Zabaras Participating student: Swagato Acharjee Materials Process Design and Control Laboratory, Cornell University Robust design and.
SAMSI Distinguished, October 2006Slide 1 Tony O’Hagan, University of Sheffield Managing Uncertainty in Complex Models.
