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Sequential Bayesian Methods for Parameter Estimation and Applications with Imaging Data

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RNT - Rich and Nonlinear Tomography - a multidisciplinary approach

Estimating and quantifying uncertainty in unknown system parameters from limited data remains a challenging inverse problem in many real-world applications. This talk will provide an overview of sequential Bayesian approaches for parameter estimation in deterministic dynamical systems, including new methods for estimating time-varying parameters. We will demonstrate the capabilities of these approaches on several applications with imaging data.

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

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Ann Docwra Room, Friends Meeting House, 12 Jesus Lane, Cambridge CB5 8BA in person & via zoom https://us02web.zoom.us/meeting/register/tZ0kfu-vqjMrEtZ1XDnwF_lV7mF1rid5DR_J

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