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dc.contributor.author
Ferrari, Pablo Augusto  
dc.contributor.author
Trivellato Rolla, Leonardo  
dc.date.available
2017-06-30T21:36:02Z  
dc.date.issued
2015  
dc.identifier.citation
Ferrari, Pablo Augusto; Trivellato Rolla, Leonardo; Yaglom limit via Holley inequality; Brazilian Statistical Association; Brazilian Journal Of Probability And Statistics; 29; 2; -1-2015; 413-423  
dc.identifier.issn
0103-0752  
dc.identifier.uri
http://hdl.handle.net/11336/19357  
dc.description.abstract
Let SS be a countable set provided with a partial order and a minimal element. Consider a Markov chain on S∪{0}S∪{0} absorbed at 00 with a quasi-stationary distribution. We use Holley inequality to obtain sufficient conditions under which the following hold. The trajectory of the chain starting from the minimal state is stochastically dominated by the trajectory of the chain starting from any probability on SS, when both are conditioned to nonabsorption until a certain time. Moreover, the Yaglom limit corresponding to this deterministic initial condition is the unique minimal quasi-stationary distribution in the sense of stochastic order. As an application, we provide new proofs to classical results in the field.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Brazilian Statistical Association  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Yaglom Limit  
dc.subject
Holley Inequality  
dc.subject.classification
Estadística y Probabilidad  
dc.subject.classification
Matemáticas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Yaglom limit via Holley inequality  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2017-06-26T14:07:00Z  
dc.journal.volume
29  
dc.journal.number
2  
dc.journal.pagination
413-423  
dc.journal.pais
Brasil  
dc.journal.ciudad
São Paulo  
dc.description.fil
Fil: Ferrari, Pablo Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santaló". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santaló"; Argentina  
dc.description.fil
Fil: Trivellato Rolla, Leonardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santaló". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santaló"; Argentina  
dc.journal.title
Brazilian Journal Of Probability And Statistics  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1214/14-BJPS269  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://projecteuclid.org/euclid.bjps/1429105595