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Mathematical Concepts

In: Long-Memory Processes

Author

Listed:
  • Jan Beran

    (University of Konstanz, Dept. of Mathematics and Statistics)

  • Yuanhua Feng

    (University of Paderborn, Faculty of Business Administration and Economics)

  • Sucharita Ghosh

    (Swiss Federal Research Institute WSL)

  • Rafal Kulik

    (University of Ottawa, Dept. of Mathematics and Statistics)

Abstract

In this chapter we present some mathematical concepts that are useful when deriving limit theorems for long-memory processes. We start with a general description of univariate orthogonal polynomials in Sect. 3.1, with particular emphasis on Hermite polynomials in Sect. 3.1.2. Under suitable conditions, a function G can be expanded into a series $$G(x)=\sum_{j=0}^{\infty}g_j H_j(x) $$ with respect to an orthogonal basis consisting of Hermite polynomials H j (⋅) ( $j\in\mathbb{N}$ ). Such expansions are used to study sequences G(X t ) where X t ( $t\in\mathbb{Z}$ ) is a Gaussian process with long memory (see Sect. 4.2.3 ). Hermite polynomials can also be extended to the multivariate case. This is discussed in Sect. 3.2.

Suggested Citation

  • Jan Beran & Yuanhua Feng & Sucharita Ghosh & Rafal Kulik, 2013. "Mathematical Concepts," Springer Books, in: Long-Memory Processes, edition 127, chapter 0, pages 107-208, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-35512-7_3
    DOI: 10.1007/978-3-642-35512-7_3
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