An approach to Stochastic Process using Quasi-Arithmetic Means

نویسندگان

  • Etienne Cuvelier
  • Monique Noirhomme-Fraiture
چکیده

Probability distributions are central tools for probabilistic modeling in data mining. In functional data analysis (FDA) they are weakly studied in the general case. In this paper we discuss a probability distribution law for functional data considered as stochastic process. We define first a new kind of stationarity linked t o the Archimedean copulas, and then we build a probability distribution using jointly the Quasi-arithmetic means and the generators of Archimedean copulas. We also study some properties of this new mathematical tool.

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تاریخ انتشار 2008