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Lab Lunch Talk: Statistical Abstraction for Multi-scale Spatio-temporal Systems

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Speaker: Jane Hillston

What
  • Lab Lunch
When Jun 11, 2019
from 01:00 PM to 02:00 PM
Where MF2, Level 4
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Abstract

Spatio-temporal systems often exhibit multi-scale behaviours, in which response to a physical environment drives internal processes which in turn influence spatial behaviour.  However such systems present formidable challenges for computational modelling and analysis.  I will present a prototypic scenario in which spatially distributed agents decide their movement based on external inputs and a fast-equilibrating internal computation: bacterial chemotaxis.  Illustrated through this example, I will propose a generally applicable strategy of model abstraction based on statistically abstracting the internal system using Gaussian Processes, a powerful class of non-parametric regression techniques from Bayesian Machine Learning.

Joint work with Michalis Michaelides and Guido Sanguinetti.

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