Oscillations of empirical distribution functions under dependence

dc.creatorWu, Wei Biao
dc.date2006-12-22
dc.date.accessioned2026-07-07T07:36:51Z
dc.date.available2026-07-07T07:36:51Z
dc.descriptionWe obtain an almost sure bound for oscillation rates of empirical distribution functions for stationary causal processes. For short-range dependent processes, the oscillation rate is shown to be optimal in the sense that it is as sharp as the one obtained under independence. The dependence conditions are expressed in terms of physical dependence measures which are directly related to the data-generating mechanism of the underlying processes and thus are easy to work with.
dc.descriptionPublished at http://dx.doi.org/10.1214/074921706000000752 in the IMS Lecture Notes Monograph Series (http://www.imstat.org/publications/lecnotes.htm) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0612692
dc.identifierhttp://arxiv.org/abs/math/0612692
dc.identifierIMS Lecture Notes Monograph Series 2006, Vol. 51, 53-61
dc.identifierdoi:10.1214/074921706000000752
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/120573
dc.subjectProbability
dc.subject60G10, 60F05 (Primary) 60G42 (Secondary)
dc.titleOscillations of empirical distribution functions under dependence
dc.typetext

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