## PIMS - SFU Distinguished Speaker in Applied & Computational Mathematics: Don Estep

- Date: 11/02/2018
- Time: 15:00

Simon Fraser University

Formulation and solution of stochastic inverse problems for science and engineering models

The stochastic inverse problem of determining probability structures on input parameters for a physics model corresponding to a given probability structure on the output of the model forms the core of scientific inference and engineering design. We describe a formulation and solution method for stochastic inverse problems that is based on functional analysis, differential geometry, and probability/measure theory. This approach yields a computationally tractable problem while avoiding alterations of the model like regularization and ad hoc assumptions about the probability structures. We present several examples, including a high-dimensional application to determination of parameter fields in storm surge models. We also describe work aimed at defining a notion of condition for stochastic inverse problems and tackling the related problem of designing sets of optimal observable quantities.

Friday, November 2, 2018

Room: K9509

3:00 pm (Reception 2:30 pm)