Conditional independence among max-stable laws
Abstract
Let X be a max-stable random vector with positive continuous density. It is proved that the conditional independence of any collection of disjoint sub-vectors of X given the remaining components implies their joint independence. We conclude that a broad class of tractable max-stable models cannot exhibit an interesting Markov structure.
0
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.