On universal estimates for binary renewal processes

dc.creatorMorvai, Gusztáv
dc.creatorWeiss, Benjamin
dc.date2008-11-13
dc.date.accessioned2026-07-07T10:17:59Z
dc.date.available2026-07-07T10:17:59Z
dc.descriptionA binary renewal process is a stochastic process $\{X_n\}$ taking values in $\{0,1\}$ where the lengths of the runs of 1's between successive zeros are independent. After observing ${X_0,X_1,...,X_n}$ one would like to predict the future behavior, and the problem of universal estimators is to do so without any prior knowledge of the distribution. We prove a variety of results of this type, including universal estimates for the expected time to renewal as well as estimates for the conditional distribution of the time to renewal. Some of our results require a moment condition on the time to renewal and we show by an explicit construction how some moment condition is necessary.
dc.descriptionPublished in at http://dx.doi.org/10.1214/07-AAP512 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/0811.2076
dc.identifierhttp://arxiv.org/abs/0811.2076
dc.identifierAnnals of Applied Probability 2008, Vol. 18, No. 5, 1970-1992
dc.identifierdoi:10.1214/07-AAP512
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/174043
dc.subjectProbability
dc.subject60G25, 60K05 (Primary)
dc.titleOn universal estimates for binary renewal processes
dc.typetext

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