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UID:20250712T113948EDT-5735UnOOhB@132.216.98.100
DTSTAMP:20250712T153948Z
DESCRIPTION:Title: Formulation and solution of stochastic inverse problems 
 for science and engineering models.\n\nAbstract: Determining information a
 bout the state of a complex physical system from observations of its behav
 ior is a fundamental problem in scientific inference and engineering desig
 n. Often\, this can be formulated as the stochastic inverse problem of det
 ermining probability structures on parameters for a physics model correspo
 nding to a probability structure on the output of the model. We describe t
 he formulation and solution of stochastic inverse problems. Our approach y
 ields a computationally tractable problem while avoiding alterations of th
 e model like regularization and ad hoc assumptions about the probability s
 tructures. We present several examples\, including a high-dimensional appl
 ication to determination of parameter fields in storm surge models. We des
 cribe several extensions and on-going research.\n\nlocal 3880 du pavillon 
 Alexandre-Vachon (ULaval) et Zoom / The Zoom link will be added to the eve
 nt information on the website the day before.\n\nWeb site : https://cimmul
 .fsg.ulaval.ca/event/seminaire-du-cimmul-statistique-don-estep/\n
DTSTART:20221027T173000Z
DTEND:20221027T183000Z
SUMMARY:Donald Estep\, Director\, Canadian Statistical Sciences Institute
URL:/mathstat/channels/event/donald-estep-director-can
 adian-statistical-sciences-institute-342994
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