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Co-sponsorship for these seminars is provided by SAS, Scotiabank, RBC Financial Group and Trans Union of Canada.
Everyone is welcome to attend. There is no fee for these seminars, but space is limited so pre-registration is essential.
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Guest Speaker: |
Dr. John MacGregor Latent Variable Methods and their use in the Analysis of Large Databases |
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Date: |
Tuesday, February 11, 2003 |
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Time: |
2:00 - 4:00 p.m. |
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Place: |
RBC Training Centre King Subway For those who drive, please don't park on any main streets (King, Yonge, Bay or Adelaide); |
Latent Variable Methods and their use in the Analysis of Large Databases
Dr. John MacGregor
Professor of Chemical Engineering, McMaster University
ABSTRACT
The nature of much of the data collected routinely in industrial, financial and research settings has changed significantly in the past decade with the presence of on-line computer systems and with the collection of large data banks. These data sets are not only large, but typically are non-full rank and non-causal in nature. Traditional statistical analysis and design approaches are very ill-suited to the investigation of these problems.
In this presentation, we look at the latent variable model and latent variable estimation methods such as Principal Component Analysis (PCA) and Partial Least Squares (PLS) as a natural way of treating many of these problems. These methods have become the preferred data-mining approaches in the process industries where large amounts of data are collected in real time by process computers.
The success of these methods in three areas will be discussed and illustrated through actual industrial examples. The first involves the analysis of industrial databases for trouble-shooting process problems, and for establishing multivariate SPC schemes. The second looks at the problem of designing experiments (DOE) in such high dimensional systems for purposes such as drug discovery. The third considers the problem of extracting information from data intensive sensors such as multi-spectral digital images.
If you plan to attend this seminar, please RSVP to Alison Burnham by e-mail.
Please contact Alison if you want more information about the SORA Financial Statistics/Marketing Seminars.
Alison Burnham
Chair, SORA Committee for Financial Statistics & Marketing
Exchange Solutions Inc.
(416) 646-7103
aburnham@exchangesolutions.net
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Co-sponsorship for these seminars is provided by SAS, Scotiabank, RBC Financial Group and Trans Union of Canada.