Limit theorems for linear processes generated by ρ-mixing sequence
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Publication:5078891
DOI10.1080/03610926.2019.1710761OpenAlexW3000415939MaRDI QIDQ5078891
Publication date: 25 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2019.1710761
central limit theoremlinear processesalmost sure central limit theoremstrictly stationaryself-normalized\( \rho \)-mixing sequence
Related Items (2)
Almost sure central limit theorems for stochastic wave equations ⋮ Limit distribution for products of sums of partial sums of linear processes generated by NSD sequence
Cites Work
- Almost sure limit theorems for stable distributions
- An almost sure central limit theorem for self-normalized partial sums
- An almost sure central limit theorem for self-normalized products of sums of i.i.d. random variables
- An extension of almost sure central limit theorem for order statistics
- The functional CLT for linear processes generated by mixing random variables with infinite variance
- Basic properties of strong mixing conditions. A survey and some open questions
- A central limit theorem for stationary \(\rho\)-mixing sequences with infinite variance
- On the almost sure (a.s.) central limit theorem for random variables with infinite variance
- A note on the almost sure central limit theorem for weakly dependent random variables
- Donsker's theorem for self-normalized partial sums processes
- A universal result in almost sure central limit theory.
- Maximal inequalities for partial sums of \(\rho\)-mixing sequences
- An almost sure central limit theorem for self-normalized weighted sums
- Almost sure central limit theorem for exceedance point processes of stationary sequences
- Self-normalized limit theorems for linear processes generated by \(\rho\)-mixing innovations
- An extension of almost sure central limit theorem for self-normalized products of sums for mixing sequences
- An Extension of Almost Sure Central Limit Theory for the Product of Partial Sums
- The Convergence of Moments in the Central Limit Theorem for ρ-Mixing Sequences of Random Variables
- On Strong Versions of the Central Limit Theorem
- An almost everywhere central limit theorem
- An almost sure central limit theorem for self-normalized partial sums of weakly dependent random variables
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