Denuit, Michel
[UCL]
Mesfioui, Mhamed
[Université du Québec à Trois Rivières, CANADA]
Building on the seminal work by Shaked and Shanthikumar (1988a,b), Denuit et al. (1999, 2000, 2001) studied the stochastic s-increasing convexity properties of standard parametric families of distributions. However, the analysis is restricted there to a single parameter. As many standard families of distributions involve several parameters, multivariate higher-order stochastic convexity properties also deserve consideration for applications. This is precisely the topic of the present paper, devoted to stochastic (s_{1}, s_{2},...,s_{d})-increasing convexity of distribution families indexed by a vector (Θ_{1}, θ_{2},..., θ_{d}) of parameters. This approach accounts for possible correlation in multivariate mixture models.
Bibliographic reference |
Denuit, Michel ; Mesfioui, Mhamed. Multivariate higher-degree stochastic increasing convexity. ISBA Discussion paper ; 2013/16 (2013) 17 pages |
Permanent URL |
http://hdl.handle.net/2078.1/127965 |