Some implications of renormalization group theoretical ideas to statistics

S. Rajaram, Y. H. Taguchi, Y. Oono

Research output: Contribution to journalArticle

1 Scopus citations

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 languageEnglish (US)
Pages (from-to)207-214
Number of pages8
JournalPhysica D: Nonlinear Phenomena
Volume205
Issue number1-4
DOIs
StatePublished - Jun 1 2005

Keywords

  • Data analysis
  • Renormalization
  • Statistics

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Mathematical Physics
  • Condensed Matter Physics
  • Applied Mathematics

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