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GUEs and queues

Name: GUEs and queues
Creator: Yuliy Baryshnikov
Keywords: flag sequences, queues, Young tableau, General theory of stochastic processes, 0101 mathematics, random matrices, 01 natural sciences, Markov chains (discrete-time Markov processes on discrete state spaces), Queueing theory (aspects of probability theory), Gaussian distribution on matrices

descriptionPublicationkeyboard_double_arrow_right Article 01 Feb 2001 English Publisher:Springer Science and Business Media LLCJournal:Probability Theory and Related Fields, volume 119, pages 256-274 (issn: 0178-8051, eissn: 1432-2064,

Authors: Yuliy Baryshnikov;

doi: 10.1007/pl00008760

GUEs and queues

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Abstract

It is considered the stochastic process \(D_{.} = (D_k, k =1, 2, \ldots)\) determined by the relations \[ D_k = \sup_{0=t_0

Keywords

flag sequences, queues, Young tableau, General theory of stochastic processes, random matrices, Markov chains (discrete-time Markov processes on discrete state spaces), Queueing theory (aspects of probability theory), Gaussian distribution on matrices

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	160
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%

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