Large and moderate deviations for the left random walk on GL d (R)
From MaRDI portal
Publication:5346034
zbMath1364.60035arXiv1610.07361MaRDI QIDQ5346034
Florence Merlevède, Christophe Cuny, Jérôme Dedecker
Publication date: 8 June 2017
Full work available at URL: https://arxiv.org/abs/1610.07361
Related Items (7)
Berry-Esseen bound and precise moderate deviations for products of random matrices ⋮ Berry-Esseen type bounds for the matrix coefficients and the spectral radius of the left random walk on \(\mathrm{GL}_d(\mathbb{R})\) ⋮ Deviation inequalities for stochastic approximation by averaging ⋮ Moderate deviations and local limit theorems for the coefficients of random walks on the general linear group ⋮ Rates of convergence in invariance principles for random walks on linear groups via martingale methods ⋮ Deviation inequalities for separately Lipschitz functionals of composition of random functions ⋮ Functional CLT for martingale-like nonstationary dependent structures
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Central limit theorem for linear groups
- Deviation inequalities for separately Lipschitz functionals of iterated random functions
- Convergence rates in the law of large numbers for arrays of martingale differences
- Exponential inequalities for martingales and asymptotic properties of the free energy of directed polymers in a random environment
- Moderate deviations for stationary sequences of bounded random variables
- Limit theorems for the left random walk on \(\mathrm{GL}_{d}(\mathbb{R})\)
- Moderate deviations of some dependent variables. I: Martingales
- Moment bounds and concentration inequalities for slowly mixing dynamical systems
- Random Walks on Reductive Groups
- Moderate deviations for martingale differences and applications to φ -mixing sequences
- An exact rate of convergence in the functional central limit theorem for special martingale difference arrays
- Convergence Rates in the Law of Large Numbers for Banach-Valued Dependent Variables
- Functional moderate deviations for triangular arrays and applications
- The Large Deviation Principle for Stochastic Processes. Part I
- Large deviations of semimartingales via convergence of the predictable characteristics
- Convergence Rates in the Law of Large Numbers
This page was built for publication: Large and moderate deviations for the left random walk on GL d (R)