Modelling of Dynamic Computer Experiments with Both Qualitative and Quantitative Variables

Loading...
Thumbnail Image

Authors

Liang, Jingyi

Date

Type

thesis

Language

eng

Keyword

Computer Experiment , Additive Model , Singular Value Decomposition , Statistical Emulator , Time Series Output , Dynamic Linear Model

Research Projects

Organizational Units

Journal Issue

Alternative Title

Abstract

Computer experiments are utilized as a popular tool of studying the relationship between responses and the factors that affect them. They are widely used in scientific researches and applications. Dynamic computer experiments refer to computer experiments with time-series responses. Different dynamic computer models have been proposed to emulate the relationship between the time-series responses and the corresponding quantitative factors. Qualitative factors are also widely used and show important effects in many scientific problems. Different models have been proposed for one-dimensional outputs and both quantitative and qualitative factors. In this thesis, we have reviewed some popular dynamic computer models with only quantitative factors. We make empirical comparisons of the prediction accuracy of three existing dynamic computer models with only quantitative factors. Among the three models, the dynamic linear Gaussian process model and the singular value decomposition based Gaussian process model outperform. Based on these two models, we incorporate the qualitative factors utilizing the additive correlation structure and propose two new modelling methods for dynamic computer experiments with both quantitative and qualitative factors. We also explored the different choices of the prior distributions for the unknown parameters in these two models. The prediction accuracy of the two proposed modelling approaches is tested by a limited simulation study.

Description

Citation

Publisher

License

Queen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canada
ProQuest PhD and Master's Theses International Dissemination Agreement
Intellectual Property Guidelines at Queen's University
Copying and Preserving Your Thesis
This publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.

Journal

Volume

Issue

PubMed ID

External DOI

ISSN

EISSN