On Weak Invariance Principles for Partial Sums

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Abstract

Given a sequence of random functionals {Xk(u)}k∈Z, u∈Id, d≥1, the normalized partial sums Sˇnt(u)=n−1/2(X1(u)+⋯+X⌊nt⌋(u)), t∈[0,1] and its polygonal version Snt(u) are considered under a weak dependence assumption and p>2 moments. Weak invariance principles in the space of continuous functions and càdlàg functions are established. A particular emphasis is put on the process Sˇnt(θ^), where θ^→Pθ, and weaker moment conditions (p=2 if d=1) are assumed
Original languageEnglish
Pages (from-to)703-728
Number of pages26
JournalJournal of Theoretical Probability
Volume30
Issue number3
Early online date1 Feb 2016
DOIs
Publication statusPublished - Sept 2017
Externally publishedYes

Austrian Fields of Science 2012

  • 101018 Statistics

Keywords

  • Weak invariance principle
  • Weakly dependent processes
  • Plug-in estimator
  • Infinite dimension

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