CVaR distance between univariate probability distributions and approximation problems
From MaRDI portal
Publication:1640043
DOI10.1007/s10479-017-2732-8zbMath1391.62025OpenAlexW2782983924MaRDI QIDQ1640043
Konstantin Pavlikov, Stan Uryasev
Publication date: 13 June 2018
Published in: Annals of Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10479-017-2732-8
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (5)
Solving bi-objective uncertain stochastic resource allocation problems by the CVaR-based risk measure and decomposition-based multi-objective evolutionary algorithms ⋮ Fitting heavy-tailed mixture models with CVaR constraints ⋮ Discrete approximations of continuous probability distributions obtained by minimizing Cramér-von Mises-type distances ⋮ Kantorovich–Rubinstein Distance Minimization: Application to Location Problems ⋮ Buffered Probability of Exceedance: Mathematical Properties and Optimization
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- CVaR (superquantile) norm: stochastic case
- CVaR norm and applications in optimization
- Random variables, monotone relations, and convex analysis
- A modified Kolmogorov-Smirnov test sensitive to tail alternatives
- Reduced order models for random functions. Application to stochastic problems
- Coherent Measures of Risk
- Reexamining Discrete Approximations to Continuous Distributions
- The Kolmogorov-Smirnov, Cramer-von Mises Tests
- Minimum Distance Estimators for Location and Goodness of Fit
- Calculation of the Wasserstein Distance Between Probability Distributions on the Line
- Certainty Equivalents for Three-Point Discrete-Distribution Approximations
- Discrete Approximations of Probability Distributions
- Three-Point Approximations for Continuous Random Variables
- Moment Methods for Decision Analysis
- On the Kolmogorov-Smirnov Limit Theorems for Empirical Distributions
- Optimal Transport
This page was built for publication: CVaR distance between univariate probability distributions and approximation problems