On the concavity of multivariate probability distribution functions

被引:6
|
作者
Prékopa, A [1 ]
机构
[1] Rutgers Ctr Operat Res, RUTCOR, Piscataway, NJ 08854 USA
关键词
probability distribution; normal distribution; Dirichlet distribution; concavity; stochastic programming;
D O I
10.1016/S0167-6377(01)00070-0
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
We prove that the multivariate standard normal probability distribution function is concave for large argument values. The method of proof allows for the derivation of similar statements for other types of multivariate probability distribution functions too. The result has important application, e.g., in probabilistic constrained stochastic programming problems. 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:1 / 4
页数:4
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