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

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: Scott, Professor Marian and Miller, Professor Claire and Currie, Mr Michael
• 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