{ "id": "1211.1318", "version": "v2", "published": "2012-11-06T17:26:52.000Z", "updated": "2014-02-20T00:38:27.000Z", "title": "Logarithmic asymptotics for multidimensional extremes under non-linear scalings", "authors": [ "Kamil Marcin Kosinski", "Michel Mandjes" ], "categories": [ "math.PR" ], "abstract": "Let $\\boldsymbol W=\\{\\boldsymbol W_n:n\\in\\mathbb N\\}$ be a sequence of random vectors in $\\mathbb R^d$, $d\\ge 1$. This paper considers the logarithmic asymptotics of the extremes of $\\boldsymbol W$, that is, for any vector $\\boldsymbol q>\\boldsymbol 0$ in $\\mathbb R^d$, we find $$\\log\\mathbb P\\left(\\exists{n\\in\\mathbb N}:\\boldsymbol W_n> u \\boldsymbol q\\right), \\quad\\text{as} u\\to\\infty.$$ We follow the approach of the restricted large deviation principle introduced in Duffy et al. \\textit{Logarithmic asymptotics for the supremum of a stochastic process} (Ann. Appl. Probab., 13:430--445, 2003). That is, we assume that, for every $\\boldsymbol q\\ge\\boldsymbol 0$, and some scalings $\\{a_n\\},\\{v_n\\}$, $\\frac{1}{v_n}\\log\\mathbb P\\left(\\boldsymbol W_n/a_n\\ge u \\boldsymbol q\\right)$ has a, continuous in $\\boldsymbol q$, limit $J_{\\boldsymbol W}(\\boldsymbol q)$. We allow the scalings $\\{a_n\\}$ and $\\{v_n\\}$ to be regularly varying with a positive index. This approach is general enough to incorporate sequences $\\boldsymbol W$, such that the probability law of $\\boldsymbol W_n/a_n$ satisfies the large deviation principle with continuous, not necessarily convex, rate functions. The formula for these asymptotics agrees with the seminal papers on this topic.", "revisions": [ { "version": "v2", "updated": "2014-02-20T00:38:27.000Z" } ], "analyses": { "subjects": [ "60F10", "60G70" ], "keywords": [ "logarithmic asymptotics", "non-linear scalings", "multidimensional extremes", "restricted large deviation principle", "asymptotics agrees" ], "note": { "typesetting": "TeX", "pages": 0, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2012arXiv1211.1318M" } } }