This course is aimed at PhD students, post-doctoral researchers and
senior research scientists interested in applying statistical techniques
of model-based data analysis.
Mathematical models are important tools for supporting our understanding
and predicting the behaviour of environmental systems. However,
uncertainties in data, model structure, and parameters are inevitable.
The Eawag Summer School provides guidance to mathematical techniques
treating such uncertainties quantitatively. It starts with elementary
statistical analyses and proceeds to state of the art Bayesian
computation. The summer school briefly covers model construction and
sensitivity analysis and then focuses on concepts, implementation and
application of Bayesian techniques for statistical inference, model
prediction and uncertainty estimation.
Dates: (11th) 12th - 16th June 2017
Location: Eawag (Swiss Federal Institute of Aquatic Science and
Technology), 8600 Dübendorf, Switzerland (http://www.eawag.ch/en/)
Cost: The course fee is CHF 800.-- (€ 800.--)
Full info at
http://www.eawag.ch/en/department/siam/teaching/summer-school-in-environmental-systems-analysis/
--
Dr Will Shepherd
Pennine Water Group
Dept of Civil and Structural Engineering
University of Sheffield
Mappin St., Sheffield, S1 3JD.
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