A survey of max-type recursive distributional equations

dc.creatorAldous, David J.
dc.creatorBandyopadhyay, Antar
dc.date2004-01-28
dc.date2005-05-20
dc.date.accessioned2026-07-07T08:06:13Z
dc.date.available2026-07-07T08:06:13Z
dc.descriptionIn certain problems in a variety of applied probability settings (from probabilistic analysis of algorithms to statistical physics), the central requirement is to solve a recursive distributional equation of the form X =^d g((ξ_i,X_i),i\geq 1). Here (ξ_i) and g(\cdot) are given and the X_i are independent copies of the unknown distribution X. We survey this area, emphasizing examples where the function g(\cdot) is essentially a ``maximum'' or ``minimum'' function. We draw attention to the theoretical question of endogeny: in the associated recursive tree process X_i, are the X_i measurable functions of the innovations process (ξ_i)?
dc.descriptionPublished at http://dx.doi.org/10.1214/105051605000000142 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0401388
dc.identifierhttp://arxiv.org/abs/math/0401388
dc.identifierAnnals of Applied Probability 2005, Vol. 15, No. 2, 1047-1110
dc.identifierdoi:10.1214/105051605000000142
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/130531
dc.subjectProbability
dc.subjectStatistics Theory
dc.subject60E05, 62E10, 68Q25, 82B44. (Primary)
dc.titleA survey of max-type recursive distributional equations
dc.typetext

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