DocumentCode
641980
Title
An upper-bound on second-order dependency
Author
Siwei Lyu
Author_Institution
Comput. Sci. Dept., SUNY - Univ. at Albany, Albany, NY, USA
fYear
2013
fDate
6-10 July 2013
Firstpage
16
Lastpage
19
Abstract
In this work, we study the upper bound of second order statistical correlation. We provide a condition for a random variable reaching the upper-bound, and an algorithm that transform any variable to have the maximum second order statistical correlation.
Keywords
correlation methods; statistical analysis; maximum second order statistical correlation; random variable reaching; second-order dependency; upper bound; Covariance matrices; Matrix decomposition; Random variables; Symmetric matrices; Transforms; Upper bound; Vectors; Information theory; Second order dependency; Upper-bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on
Conference_Location
Beijing
Type
conf
DOI
10.1109/ChinaSIP.2013.6625288
Filename
6625288
Link To Document