Sensitivity Analysis Approaches to Investigate Uncertainty in Process-based Models, with Application to Aquaculture

Currie, M. , Miller, C. , Scott, M. and Hills, A. (2020) Sensitivity Analysis Approaches to Investigate Uncertainty in Process-based Models, with Application to Aquaculture. In: 35th International Workshop on Statistical Modelling 2020, Bilbao, Basque Country, Spain, 20-24 July 2020, pp. 301-304. ISBN 9788413192673

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Abstract

Sensitivity and uncertainty analyses are effective tools for assessing uncertainty around parameter estimation for complex computer models, and hence increase confidence in model predictions. NewDEPOMOD is a particle tracking model used for monitoring the environmental impacts of aquaculture, and will be used as an application to extend sensitivity analysis methods to consider models with a multivariate response.

Item Type:Conference Proceedings
Additional Information:Special thanks to EPSRC (Award Ref: 1953182) and SEPA for funding the PhD and Andrew Berkeley (formerly SEPA) for his support in the completion of this work.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Currie, Mr Michael and Miller, Professor Claire and Scott, Professor Marian
Authors: Currie, M., Miller, C., Scott, M., and Hills, A.
College/School:College of Science and Engineering > School of Mathematics and Statistics
ISBN:9788413192673
Copyright Holders:Copyright © 2020 The Authors
First Published:First published in Proceedings of the 35th International Workshop on Statistical Modelling, July 20-24, 2020 Bilbao, Basque Country, Spain, 301-304
Publisher Policy:Reproduced with the permission of the authors

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