Brian Fralix

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German RianoSenior Research Scientist, Amazon.comVerified email at mendozas.com
Onno BoxmaProfessor of Stochastic Operations Research. Eindhoven University of TechnologyVerified email at tue.nl
Ivo AdanProfessor Manufacturing Networks, Technische Universiteit EindhovenVerified email at tue.nl
Johan van LeeuwaardenProfessor of Stochastic Operations Research, Tilburg UniversityVerified email at tilburguniversity.edu
Sherwin DoroudiUniversity of Minnesota - Twin CitiesVerified email at umn.edu
Mor Harchol-BalterBruce J. Nelson Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Jori SelenEindhoven University of TechnologyVerified email at tue.nl
Bert ZwartCWI Amsterdam and Eindhoven University of TechnologyVerified email at cwi.nl
Andrew DawAssistant Professor of Data Sciences and Operations, USC MarshallVerified email at usc.edu
Jamol PenderCornell Verified email at cornell.edu
Farhad HasankhaniSenior Data Scientist, Blend360, PhDVerified email at g.clemson.edu
Offer KellaThe Hebrew University of JerusalemVerified email at huji.ac.il
Mark HolmesUniversity of MelbourneVerified email at unimelb.edu.au

Brian Fralix

Clemson University, School of Mathematical and Statistical Sciences

Verified email at g.clemson.edu - Homepage

Applied Probability


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
An infinite-server queue influenced by a semi-Markovian environment BH Fralix, IJBF Adan Queueing Systems 61, 65-84, 2009	62	2009
Sojourn times in polling systems with various service disciplines O Boxma, J Bruin, B Fralix Performance Evaluation 66 (11), 621-639, 2009	60	2009
A new look at transient versions of Little's law, and M/G/1 preemptive Last-Come-First-Served queues BH Fralix, G Riaño Journal of Applied Probability 47 (2), 459-473, 2010	31	2010
Clearing analysis on phases: Exact limiting probabilities for skip-free, unidirectional, quasi-birth-death processes S Doroudi, B Fralix, M Harchol-Balter Stochastic Systems 6 (2), 420-458, 2017	21	2017
When are two Markov chains similar? B Fralix Statistics & Probability Letters 107, 199-203, 2015	15	2015
Some new insights into Kolmogorov's criterion, with applications to hysteretic queues P Buckingham, B Fralix Markov Processes and Related Fields 21 (2), 339-368, 2015	15	2015
A new look at Markov processes of G/M/1-type J Joyner, B Fralix Stochastic Models 32 (2), 253-274, 2016	14	2016
Inter-departure times in base-stock inventory-queues L Bai, B Fralix, L Liu, W Shang Queueing Systems 47, 345-361, 2004	14	2004
On the time-dependent moments of Markovian queues with reneging BH Fralix Queueing Systems 75, 149-168, 2013	13	2013
On classes of Bitcoin-inspired infinite-server queueing systems B Fralix Queueing systems 95 (1-2), 29-52, 2020	12	2020
A further study of some Markovian Bitcoin models from Göbel et al. K Javier, B Fralix Stochastic Models 36 (2), 223-250, 2020	12	2020
Foster-type criteria for Markov chains on general spaces BH Fralix Journal of applied probability 43 (4), 1194-1200, 2006	10	2006
Time-dependent analysis of an M / M / c preemptive priority system with two priority classes J Selen, B Fralix Queueing Systems 87 (3-4), 379-415, 2017	9	2017
First passage times to congested states of many-server systems in the Halfin–Whitt regime B Fralix, C Knessl, JSH van Leeuwaarden Stochastic Models 30 (2), 162-186, 2014	8	2014
A new look at block-structured Markov processes J Joyner, B Fralix Unpublished manuscript. Available at http://bfralix. people. clemson. edu …, 2016	7	2016
Factorization identities for a general class of reflected processes B Fralix, JSH Van Leeuwaarden, OJ Boxma Journal of Applied Probability 50, 632-653, 2013	7	2013
Time-dependent properties of symmetric queues B Fralix, B Zwart Queueing Systems 67, 33-45, 2011	7	2011
Renewal sequences with periodic dynamics B Fralix, J Livsey, R Lund Probability in the Engineering and Informational Sciences 26 (1), 1-15, 2012	6	2012
Time-dependent Palm probabilities and queueing applications BH Fralix, G Riano, RF Serfozo EURANDOM, European Institute for Statistics, Probability, Stochastic …, 2007	5	2007
A new look at a smart polling model B Fralix Mathematical Methods of Operations Research 88 (3), 339-367, 2018	4	2018

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