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The Bayesian Approach to Inverse Problems and Data Assimilation

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RNTW01 - Rich and Nonlinear Tomography (RNT) in Radar, Astronomy and Geophysics

The Bayesian approach to inverse problems and data assimilation has been picking up momentum significantly over the past several decades. Algorithmic improvements and approximations are making this approach practically accessible for many problems where it would previously have been considered impossible. In this talk, I will present a broad overview of the Bayesian approach, along with some attractive properties and some recent promising open research directions.

This talk is part of the Isaac Newton Institute Seminar Series series.

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Kavli Centre for Ethics, Science, and the Public Average on weekdays: 8923.63645224 kWh Harker Room 1 and Common Room, Department of Earth Sciences

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