Add to ORKGLet (X1,X2) be an [alpha]-stable random vector with 0Stable distributions Stable random vectors Symmetric [alpha]-stable Conditional moments
The dependence structure of a max-stable random vector is characterized by its spectral measure. Usi...
25 pagesInternational audienceWe study some connections between the random moment problem and the ra...
AbstractNecessary and sufficient conditions are presented for jointly symmetric stable random vector...
AbstractLet (X1,X2) be an α-stable random vector with 0 < α < 2, not necessarily symmetric. Its dist...
AbstractLet (X1, X2) be a symmetric α-stable random vector with 0 < α < 2. Its distribution is chara...
AbstractLet (X1,X2) be an α-stable random vector with 0 < α < 2, not necessarily symmetric. Its dist...
AbstractLet (X1, X2) be a symmetric α-stable random vector with 0 < α < 2. Its distribution is chara...
with 1 < a < 2 and spectral measure r, we find a necessary and sufficient condition in terms o...
AbstractJointly α-stable random variables with index 0 < α < 2 have only finite moments of order les...
AbstractSeveral characterizations of multivariate stable distribution are given based on identically...
AbstractSeveral characterizations of multivariate stable distribution are given based on identically...
Abstract. A characterization of normal distributions of two independent random vari-ables X and Y wi...
Abstract. A characterization of normal distributions of two independent random vari-ables X and Y wi...
Abstract. A characterization of normal distributions of two independent random vari-ables X and Y wi...
Absbact. An SorS random vector X is pserbstable, or < f l d 2, if X: Y e i M for some symmetric /...
The dependence structure of a max-stable random vector is characterized by its spectral measure. Usi...
25 pagesInternational audienceWe study some connections between the random moment problem and the ra...
AbstractNecessary and sufficient conditions are presented for jointly symmetric stable random vector...
AbstractLet (X1,X2) be an α-stable random vector with 0 < α < 2, not necessarily symmetric. Its dist...
AbstractLet (X1, X2) be a symmetric α-stable random vector with 0 < α < 2. Its distribution is chara...
AbstractLet (X1,X2) be an α-stable random vector with 0 < α < 2, not necessarily symmetric. Its dist...
AbstractLet (X1, X2) be a symmetric α-stable random vector with 0 < α < 2. Its distribution is chara...
with 1 < a < 2 and spectral measure r, we find a necessary and sufficient condition in terms o...
AbstractJointly α-stable random variables with index 0 < α < 2 have only finite moments of order les...
AbstractSeveral characterizations of multivariate stable distribution are given based on identically...
AbstractSeveral characterizations of multivariate stable distribution are given based on identically...
Abstract. A characterization of normal distributions of two independent random vari-ables X and Y wi...
Abstract. A characterization of normal distributions of two independent random vari-ables X and Y wi...
Abstract. A characterization of normal distributions of two independent random vari-ables X and Y wi...
Absbact. An SorS random vector X is pserbstable, or < f l d 2, if X: Y e i M for some symmetric /...
The dependence structure of a max-stable random vector is characterized by its spectral measure. Usi...
25 pagesInternational audienceWe study some connections between the random moment problem and the ra...
AbstractNecessary and sufficient conditions are presented for jointly symmetric stable random vector...