COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |

University of Cambridge > Talks.cam > Cambridge Analysts' Knowledge Exchange > Statistical analysis of a non-linear inverse problem for an elliptic PDE

## Statistical analysis of a non-linear inverse problem for an elliptic PDEAdd to your list(s) Download to your calendar using vCal - Sven Wang, University of Cambridge
- Wednesday 30 January 2019, 16:00-17:00
- MR14, Centre for Mathematical Sciences.
If you have a question about this talk, please contact Angeliki Menegaki. The talk will be about some statistical inverse problems arising in the context of second order elliptic PDEs. Concretely, suppose $f$ is the unknown coefficient function of a second order elliptic partial differential operator $L_f$ on some bounded domain $\mathcal O\subseteq \R^d$, and the unique solution $u_f$ of a corresponding boundary value problem is observed, corrupted by additive Gaussian white noise. Concrete examples include $L_fu=\Delta u-2fu$ (Schr\”odinger equation with attenuation potential $f$) and $L_fu=\text{div} (f\nabla u)$ (divergence form equation with conductivity $f$). I will present some recent results on the convergence rates for Tikhonov-type penalised least squares estimators $\hat f$ for $f$ in these contexts. The penalty functionals are of squared Sobolev-norm type and thus $\hat f$ can also be interpreted as a Bayesian `MAP’-estimator corresponding to some Gaussian process prior. We derive rates of convergence of $\hat f$ and of $u_{\hat f}$, to $f, u_f$, respectively. The rates obtained are minimax-optimal in prediction loss. This talk is part of the Cambridge Analysts' Knowledge Exchange series. ## This talk is included in these lists:- All CMS events
- CMS Events
- Cambridge Analysts' Knowledge Exchange
- DAMTP info aggregator
- MR14, Centre for Mathematical Sciences
- bld31
Note that ex-directory lists are not shown. |
## Other listsJunior Mirror Symmetry Seminars Talks related to atmosphere and ocean dynamics and climate science Cambridge Product Management Network## Other talksAdaptation Produces Change-Salience The Oxford Expedition 2016 (South Africa) Influencing axon regeneration after spinal cord injury Shattered lives: Understanding and treating post traumatic stress in children and adolescents CAN HIGH TECHNOLOGY PRODUCTS BE SUSTAINABLE? The formation of large impact craters |