We propose a sample average approximation (SAA) method for stochastic program-ming problems involving an expected value constraint. Such problems arise, for ex-ample, in portfolio selection with constraints on conditional value-at-risk (CVaR). Our contributions include an analysis of the convergence rate and a statistical valida-tion scheme for the proposed SAA method. Computational results using a portfolio selection problem with a CVaR constraint are presented. Key words: Sample average approximation; Expected value constrained stochastic program; Conditional value-at-risk; Convergence rate; Validation scheme; Portfolio optimizatio
Sample Average Approximation (SAA) is a well-known method for solving stochastic programs. Here, we ...
The paper studies stochastic optimization (programming) problems with compound functions containing ...
http://www.optimization-online.org/DB_HTML/2007/09/1787.htmlIn this paper we consider optimization p...
Title: Sample approximation technique in stochastic programming Author: Eszter V¨or¨os Department: D...
Title: Sample approximation technique in stochastic programming Author: Eszter V¨or¨os Department: D...
Sample average approximation (SAA) is a well-known solution methodology for traditional stochastic p...
In this article, we discuss the sample average approximation (SAA) method applied to a class of stoc...
Stochastic programming is a well-known instrument to model many risk management problems in finance....
We provide a refined convergence analysis for the SAA (sample average approximation) method applied ...
We provide a refined convergence analysis for the SAA (sample average approximation) method applied ...
International audienceIn this paper, we present a new scheme of a sampling-based method to solve cha...
International audienceIn this paper, we present a new scheme of a sampling-based method to solve cha...
Abstract. The sample average approximation approach to solving stochastic programs induces a samplin...
Abstract. Various stochastic programming problems can be formulated as problems of optimization of a...
In this paper, we present a new scheme of a sampling-based method to solve chance constrained progra...
Sample Average Approximation (SAA) is a well-known method for solving stochastic programs. Here, we ...
The paper studies stochastic optimization (programming) problems with compound functions containing ...
http://www.optimization-online.org/DB_HTML/2007/09/1787.htmlIn this paper we consider optimization p...
Title: Sample approximation technique in stochastic programming Author: Eszter V¨or¨os Department: D...
Title: Sample approximation technique in stochastic programming Author: Eszter V¨or¨os Department: D...
Sample average approximation (SAA) is a well-known solution methodology for traditional stochastic p...
In this article, we discuss the sample average approximation (SAA) method applied to a class of stoc...
Stochastic programming is a well-known instrument to model many risk management problems in finance....
We provide a refined convergence analysis for the SAA (sample average approximation) method applied ...
We provide a refined convergence analysis for the SAA (sample average approximation) method applied ...
International audienceIn this paper, we present a new scheme of a sampling-based method to solve cha...
International audienceIn this paper, we present a new scheme of a sampling-based method to solve cha...
Abstract. The sample average approximation approach to solving stochastic programs induces a samplin...
Abstract. Various stochastic programming problems can be formulated as problems of optimization of a...
In this paper, we present a new scheme of a sampling-based method to solve chance constrained progra...
Sample Average Approximation (SAA) is a well-known method for solving stochastic programs. Here, we ...
The paper studies stochastic optimization (programming) problems with compound functions containing ...
http://www.optimization-online.org/DB_HTML/2007/09/1787.htmlIn this paper we consider optimization p...