Workshops

Dimension Reduction for Functional Data

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Jane Ling Wang

2012-07-24
10:05:00 - 11:10:00

308 , Mathematics Research Center Building (ori. New Math. Bldg.)

Functional data are intrinsically infinite dimensional, so dimension reduction methods are often needed to handle it. The approaches might differ for dense and sparse functional data. In this talk, we'll review some of the approaches, including principal component based methods and dimension reduction regression models.