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 language | English |
|---|---|
| Pages (from-to) | 703-728 |
| Number of pages | 26 |
| Journal | Journal of Theoretical Probability |
| Volume | 30 |
| Issue number | 3 |
| Early online date | 1 Feb 2016 |
| DOIs | |
| Publication status | Published - Sept 2017 |
| Externally published | Yes |
Austrian Fields of Science 2012
- 101018 Statistics
Keywords
- Weak invariance principle
- Weakly dependent processes
- Plug-in estimator
- Infinite dimension