Multiwavelets: Theory and Bioinformatic Applications
Sam Efromovich
Communications in Statistics - Theory and Methods, 2009, vol. 38, issue 16-17, 2829-2842
Abstract:
Multiwavelets imply a better spatial and temporal resolution than uniwavelets. Nonetheless, they are practically unknown to statisticians and practitioners, and multiwavelet statistical literature is practically next to none. This article is devoted to the theory and applications of multiwavelets in microarray analysis and functional magnetic resonance imaging.
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:38:y:2009:i:16-17:p:2829-2842
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DOI: 10.1080/03610920902947170
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