Modelling from spatiotemporal data: a dynamic systems approach

Zammit Mangion, A (2011) Modelling from spatiotemporal data: a dynamic systems approach. PhD thesis, University of Sheffield.

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Keywords: dynamic spatiotemporal models, variational Bayes, variational dual filtering, spatiotemporal point processes, conflict analysis.
Awarding institution: University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Automatic Control and Systems Engineering (Sheffield)
Identification Number/EthosID (e.g. uk.bl.ethos.123456): uk.bl.ethos.557465
Depositing User: Mr A Zammit Mangion
Date Deposited: 20 Feb 2012 15:02
Last Modified: 27 Apr 2016 13:33

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This thesis presents a set of variational methods for the inference of dynamic spatiotemporal systems governed by SPDEs. Time-varying as well as heterogeneous systems under both Guassian and point process observations are considered.

Filename: Zammit_Mangion,_Andrew.pdf

Description: This thesis presents a set of variational methods for the inference of dynamic spatiotemporal systems governed by SPDEs. Time-varying as well as heterogeneous systems under both Guassian and point process observations are considered.

Licence: Creative Commons Attribution Non-commercial No Derivatives (UK)

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