What:
The University of New Haven (UNH) College of Business will host a lecture entitled "Dimension Reduction Techniques for Forecasting: An Empirical Comparison," with Dr. Chun Wang, assistant professor of economics at Brooklyn College in Brooklyn, NY. Wang will discuss the forecasting performance of three dimension reduction techniques: principal components analysis, sliced inverse regression and partial least squares. She notes that, intuitively, the more information the forecasters have at hand, the more accurate the forecasts will be. However, forecasts become less efficient and, in a mean squared metric, it is often desirable to reduce the information available to avoid the curse of dimensionality, which means the simple regression model breaks as the number of regressors increases relative to the sample size. Therefore, choosing how to reduce the dimensionality of the data is a key to improve the performance of forecasts. Wang's lecture is part of the College of Business Research Forum series. This event is free and open to the public.
When:
Monday, March 30, 2009, 12:30 p.m.
Where:
Maxcy Hall, Room 124, UNH Campus
Details:
Wang joined the Brooklyn College Department of Economics as an assistant professor in fall 2008. She received her Ph.D. in economics from University of California, Davis. Her research interests include applied macroeconomics, time series econometrics, monetary economics, and international macroeconomics. Wang is currently working on dimension reduction techniques and their applications in macroeconomics. She is a member of the Econometric Society and Eastern Economic Association.
For more information, contact Research Forums Director Nadia Doytch at 203-932-7423 or ndoytch@newhaven.edu.