Catherine Paquin's Research Page

  /main page/research axes/Catherine Paquin

Former Position

Graduate student M.Sc. | 2017 - 2018

Contact

Engineer

Norda Stelo

Montreal, CANADA


Education

M.Sc., Civil Engineering | 2016-2018
   Polytechnique Montreal
   Advisor: James-A Goulet
        
B.ing., Civil Engineering | 2012-2016
   Polytechnique Montreal

Research

Project

Title: Modelling Environemental Effect Dependencies with Principal Component Analysis in Bayesian Dynamic Linear Models

Summary: My master thesis proposes a new method adapted to BDLM that uses PCA on environmental effect observations in order to model the dependency between environmental effects and structural response. The proposed method is to model the linear dependency between the structural response model and the individual impacts of the environmental effects models transformed in an un- correlated space obtained through PCA. This modification to BDLM only modifies a model matrix and does not change the method’s essence. The case-study results show that the method is able to handle multiple correlated environmental effects in BDLM, which was not possible before, and that including in a structural response model the information from multiple environmental effect datasets leads to an increased prediction capacity. The method could also be expanded to handle different types of environmental effects at once by adding a pre-processing step.

Publications

[2018]  Modelling Environemental Effect Dependencies with Principal Component Analysis in Bayesian
            Dynamic Linear Models

            Paquin, C.

            M.Sc. Thesis, Polytechnique Montréal

            [PDF]