Title: Bayesian statistical inversion of Travel time tomography
Abstract: In this talk, we will consider an application of the paradigm of infinite dimensional Bayesian inverse problems to travel time tomography. We will construct a Bayesian prior distribution on the conformal factor of the metric on a closed manifold with boundary, such that the posterior mean given finitely many discrete, noisy measurements of travel time data on the boundary, approaches the true parameter as the number of measurements approaches infinity.
Observe that the starting time is 9.00am sharp.