Non asymptotic controls on a recursive superquantile approximation
From MaRDI portal
Publication:2233588
DOI10.1214/21-EJS1908zbMath1471.62443arXiv2009.13174OpenAlexW3203193241MaRDI QIDQ2233588
Publication date: 11 October 2021
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2009.13174
Applications of statistics to actuarial sciences and financial mathematics (62P05) Central limit and other weak theorems (60F05) Stochastic approximation (62L20)
Related Items
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Efficient and fast estimation of the geometric median in Hilbert spaces with an averaged stochastic gradient algorithm
- Estimating the geometric median in Hilbert spaces with stochastic gradient algorithms: \(L^p\) and almost sure rates of convergence
- Conditional value-at-risk: semiparametric estimation and inference
- Bregman superquantiles. Estimation methods and applications
- A modified functional delta method and its application to the estimation of risk functionals
- Convergence rate and averaging of nonlinear two-time-scale stochastic approximation algo\-rithms
- Additivity properties for value-at-risk under archimedean dependence and heavy-tailedness
- Optimal reinsurance with general risk measures
- Théorèmes de convergence presque sure pour une classe d'algorithmes stochastiques à pas decroissant
- Stochastic approximation with two time scales
- Stochastic heavy ball
- Convergence rate of linear two-time-scale stochastic approximation.
- Online estimation of the geometric median in Hilbert spaces: nonasymptotic confidence balls
- Stochastic approximation algorithms for superquantiles estimation
- Coherent Measures of Risk
- Expected Utility, Penalty Functions, and Duality in Stochastic Nonlinear Programming
- RISK MEASURES FOR NON-INTEGRABLE RANDOM VARIABLES
- Computing VaR and CVaR using stochastic approximation and adaptive unconstrained importance sampling
- Acceleration of Stochastic Approximation by Averaging
- Asymptotic Almost Sure Efficiency of Averaged Stochastic Algorithms
- Inference in Arch and Garch Models with Heavy-Tailed Errors
- Analytical value-at-risk with jumps and credit risk