Theoretical Results and Applications Related to Dimension Reduction

Theoretical Results and Applications Related to Dimension Reduction

To overcome the curse of dimensionality, dimension reduction is important and necessary for understanding the underlying phenomena in a variety of fields. Dimension reduction is the transformation of high-dimensional data into a meaningful representation in the low-dimensional space. It can be furth...

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Bibliographic Details
Main Author: Chen, Jie
Published: Georgia Institute of Technology 2008
Subjects:
HRM
Time series prediction
Electricity price curve
Dimension reduction
MMV
Penalized likelihood estimator
Computational complexity
Estimation theory
Prediction theory
Electricity
Pricing
Online Access:http://hdl.handle.net/1853/19841

Internet

http://hdl.handle.net/1853/19841

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