Room 2012, Earth Sciences Building (2207 Main Mall)
This is a public lecture, hosted by the Institute of Applied Mathematics.
Abstract: Ordinary differential equation models are used extensively within mathematics as descriptions of processes in the real world. However, they are rarely employed by statisticians and there is a paucity of methods for combining differential equation models with data. This talk provides a survey of recently developed statistical methods for estimating parameters from data, conducting model criticism and improvement for differential equation models in the light of data, and designing experiments that yield optimal estimates of parameters. It ends with some perspectives on the current state of the field and open problems.
There will be a reception before the talk in ESB 4133 (the PIMS lounge).