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Summer School on Mathematical and Statistical Model Uncertainty

July 23, 2018 - July 27, 2018

The emerging area of uncertainty quantification (UQ) for computer models is the focus of the 2018-2019: Program Model Uncertainty: Mathematical and Statistical (MUMS) at the Statistical and Applied Mathematical Sciences Institute (SAMSI). The aim of the SAMSI program is to bring together statistical and mathematical scientists to tackle important common research problems in UQ and to train the next generation of UQ researchers. To this end, the Canadian Statistical Sciences Institute (CANSSI) and SAMSI are jointly sponsoring the Summer School on UQ.

The objective of this 5-day summer school is to present the statistical and mathematical foundations for UQ in a wide variety of applications. Among the many challenges include understanding all of the sources of variability (statistical and mathematical) and combining models and data to make inferences about physical systems, or the parameters that govern them. The approach will be one where attendees will learn UQ methods by implementation and where roughly half of the time will be spent on problem solving (exercises and the real-world problem). We also aim to establish a common nomenclature among the mathematical and statistical sciences communities.

Details

Start:
July 23, 2018
End:
July 27, 2018
Website:
http://people.stat.sfu.ca/~dbingham/summer-school/

Venue

Big Data Hub, Simon Fraser University
8888 University Drive
Burnaby, BC V5A 1S6 Canada
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Website:
http://www.sfu.ca/key/services