Moderate deviations for stationary sequences of Hilbert-valued bounded random variables
From MaRDI portal
Publication:953500
DOI10.1016/j.jmaa.2008.08.050zbMath1154.60025arXiv0805.2899OpenAlexW1990024005MaRDI QIDQ953500
Publication date: 6 November 2008
Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/0805.2899
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Probabilities of large deviations in topological spaces. I
- An empirical central limit theorem for dependent sequences
- Sur les déviations modérées des sommes de variables aléatoires vectorielles indépendantes de même loi. (On moderate deviations of sums of independent and identically distributed vector valued random variables)
- Large and moderate deviations for infinite-dimensional autoregressive processes.
- Linear processes in function spaces. Theory and applications
- A new maximal inequality and invariance principle for stationary sequences
- A function space large deviation principle for certain stochastic integrals
- Optimum bounds for the distributions of martingales in Banach spaces
- Asymptotic theory of weakly dependent stochastic processes
- The conditional central limit theorem in Hilbert spaces.
- Some dimension-free features of vector-valued martingales
- A nonadapted version of the invariance principle of Peligrad and Utev
- Moderate deviations for martingale differences and applications to φ -mixing sequences
- A maximal 𝕃_{𝕡}-inequality for stationary sequences and its applications
- Moderate Deviations and Associated Laplace Approximations for Sums of Independent Random Vectors
- Moderate deviation principles for trajectories of sums of independent Banach space valued random variables
- Large deviations of semimartingales via convergence of the predictable characteristics
- Central limit theorems for non-invertible measure preserving maps
This page was built for publication: Moderate deviations for stationary sequences of Hilbert-valued bounded random variables
