Limit laws of estimators for critical multi-type Galton-Watson processes

dc.creatorChi, Zhiyi
dc.date2005-03-24
dc.date.accessioned2026-07-07T05:18:23Z
dc.date.available2026-07-07T05:18:23Z
dc.descriptionWe consider the asymptotics of various estimators based on a large sample of branching trees from a critical multi-type Galton-Watson process, as the sample size increases to infinity. The asymptotics of additive functions of trees, such as sizes of trees and frequencies of types within trees, a higher-order asymptotic of the ``relative frequency'' estimator of the left eigenvector of the mean matrix, a higher-order joint asymptotic of the maximum likelihood estimators of the offspring probabilities and the consistency of an estimator of the right eigenvector of the mean matrix, are established.
dc.descriptionPublished at http://dx.doi.org/10.1214/105051604000000521 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/0503552
dc.identifierhttp://arxiv.org/abs/math/0503552
dc.identifierAnnals of Applied Probability 2004, Vol. 14, No. 4, 1992-2015
dc.identifierdoi:10.1214/105051604000000521
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/74643
dc.subjectProbability
dc.subject60J80 (Primary) 60F05 (Secondary)
dc.titleLimit laws of estimators for critical multi-type Galton-Watson processes
dc.typetext

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