Abstract
Renormalization group (RG) theory and statistical data analysis are obviously closely related. Reductive RG can provide a natural framework to understand asymptotic estimate problems. Some observations relevant to this problem and an example of a data-mining algorithm inspired by the consideration are exhibited.
Original language | English (US) |
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Pages (from-to) | 207-214 |
Number of pages | 8 |
Journal | Physica D: Nonlinear Phenomena |
Volume | 205 |
Issue number | 1-4 |
DOIs | |
State | Published - Jun 1 2005 |
Keywords
- Data analysis
- Renormalization
- Statistics
ASJC Scopus subject areas
- Statistical and Nonlinear Physics
- Mathematical Physics
- Condensed Matter Physics
- Applied Mathematics