First order asymptotics of the sample average approximation method to solve risk averse stochastic programs
From MaRDI portal
Publication:6634525
DOI10.1007/s10107-023-02036-1MaRDI QIDQ6634525
Publication date: 7 November 2024
Published in: Mathematical Programming. Series A. Series B (Search for Journal in Brave)
covering numberssample average approximationabsolute semideviationsdivergence risk measuresrisk averse stochastic program
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Optimal stopping under model uncertainty: randomized stopping times approach
- On convex risk measures on \(L^{p}\)-spaces
- Stochastic programs and statistical data
- Parametric statistical theory: with the assistance of R. Hamböker
- Weak convergence and empirical processes. With applications to statistics
- A CLT for empirical processes involving time-dependent data
- Domains of weak continuity of statistical functionals with a view toward robust statistics
- Statistical estimation of composite risk functionals and risk optimization problems
- Introduction to empirical processes and semiparametric inference
- Mathematical Risk Analysis
- Weak Continuity of Risk Functionals with Applications to Stochastic Programming
- Penalty Functions and Duality in Stochastic Programming Via ϕ-Divergence Functionals
- Stochastic Finance
- Mathematical Foundations of Infinite-Dimensional Statistical Models
- Non-asymptotic confidence bounds for the optimal value of a stochastic program
- A Central Limit Theorem and Hypotheses Testing for Risk-averse Stochastic Programs
- Real Analysis and Probability
- Consistency of Sample Estimates of Risk Averse Stochastic Programs
- Stochastic Integer Programming: Limit Theorems and Confidence Intervals
- AN OLD‐NEW CONCEPT OF CONVEX RISK MEASURES: THE OPTIMIZED CERTAINTY EQUIVALENT
- Measure and integration theory. Transl. from the German by Robert B. Burckel
- Stopping Times and Directed Processes
This page was built for publication: First order asymptotics of the sample average approximation method to solve risk averse stochastic programs