Concentration inequalities for non-causal random fields
DOI10.1214/22-EJS1992zbMath1490.60129OpenAlexW4226095006MaRDI QIDQ2136658
Rémy Garnier, Raphaël Langhendries
Publication date: 11 May 2022
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-16/issue-1/Concentration-inequalities-for-non-causal-random-fields/10.1214/22-EJS1992.full
learning theoryHoeffding's inequalitylocal dependencelearning in non-i.i.d scenariosnon-causal random fields
Random fields (60G60) Computational learning theory (68Q32) Inequalities; stochastic orderings (60E15) Generalizations of martingales (60G48) Neural nets and related approaches to inference from stochastic processes (62M45)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Model selection for weakly dependent time series forecasting
- Deviation inequalities for separately Lipschitz functionals of iterated random functions
- Stability and asymptotics for autoregressive processes
- Concentration inequalities for random fields via coupling
- Concentration inequalities and model selection. Ecole d'Eté de Probabilités de Saint-Flour XXXIII -- 2003.
- A class of random field memory models for mortality forecasting
- Generalization bounds for averaged classifiers
- Exponential inequalities for nonstationary Markov chains
- High-dimensional VAR with low-rank transition
- Deviation inequalities for separately Lipschitz functionals of composition of random functions
- Simultaneous analysis of Lasso and Dantzig selector
- Concentration inequalities for Markov chains by Marton couplings and spectral methods
- Concentration inequalities for dependent random variables via the martingale method
- Weak dependence. With examples and applications.
- Learnability and the Vapnik-Chervonenkis dimension
- A quadratic ARCH(∞) model with long memory and Lévy stable behavior of squares
- Filling-in by joint interpolation of vector fields and gray levels
- Probability Inequalities for Sums of Bounded Random Variables
- On the Method of Typical Bounded Differences
- Model selection and error estimation
This page was built for publication: Concentration inequalities for non-causal random fields