LMS Workshop: Bayesian Inverse Problems

Theme

The aim of this event is to bring together applied mathematicians and statisticians to discuss recent developments in Bayesian statistical theory, methodology, and algorithms for solving challenging inverse problems, with a special focus on high-dimensional and infinite dimensional settings. The goal is to promote collaboration and cross-fertilisation of ideas and techniques between these two communities. There will also be a poster session giving early career researchers an opportunity to present their work as well.

Invited Speakers

• Yoann Altman (Heriot-Watt University)
• Kody Law (University of Manchester)
• Michela Ottobre ((Heriot-Watt University)
• Tim Sullivan (Freie Universität Berlin)
• Katherine Tant (University of Strathclyde)

Schedule

Please click on the titles for abstracts where available.

10:30 - 11:00	Welcome and Registration
11:00 - 11:10	Opening Remarks
11:10 - 12:00	Tim Sullivan	Bayesian Probabilistic Numerical Methods
12:10 - 13:00	Kody Law	Strategies for Multilevel Monte Carlo
13:00 - 14:00	Lunch break and poster session	List of poster titles and presenters
14:00 - 14:50	Katherine Tant	A Transdimensional Bayesian Approach to Material Mapping and Imaging in Industrial Applications
15:00 - 15:50	Michela Ottobre	Sampling with Irreversible Dynamics
16:00 - 16:30	Coffee Break
16:30 - 17:20	Yoann Altman	Bayesian 3D Scene Reconstruction from Sparse Multispectral Lidar Waveforms

Registration

There is no registration fee, but if you do plan to attend we ask that you register by emailing Marcelo Pereyra: m.pereyra[at]hw.ac.uk. If you are interested in presenting a poster during the poster session, please let us know as well.