|   | 
Details
   web
Records
Author Barrera, J.; Fontbona, J.
Title The Limiting Move-To-Front Search-Cost In Law Of Large Numbers Asymptotic Regimes Type
Year 2010 Publication Annals Of Applied Probability Abbreviated Journal Ann. Appl. Probab.
Volume 20 Issue 2 Pages 722-752
Keywords Move-to-front rule; search-cost; law of large numbers; propagation of chaos
Abstract We explicitly compute the limiting transient distribution of the search-cost in the move-to-front Markov chain when the number of objects tends to infinity, for general families of deterministic or random request rates. Our techniques are based on a “law of large numbers for random partitions,” a scaling limit that allows us to exactly compute limiting expectation of empirical functionals of the request probabilities of objects. In particular, we show that the limiting search-cost can be split at an explicit deterministic threshold into one random variable in equilibrium, and a second one related to the initial ordering of the list. Our results ensure the stability of the limiting search-cost under general perturbations of the request probabilities. We provide the description of the limiting transient behavior in several examples where only the stationary regime is known, and discuss the range of validity of our scaling limit.
Address [Barrera, Javiera] Univ Adolfo Ibanez, Escuela Ingn & Ciencias, Penalolen, Chile, Email: javiera.barrera@uai.cl
Corporate Author Thesis
Publisher Inst Mathematical Statistics Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1050-5164 ISBN Medium
Area Expedition Conference
Notes WOS:000283529500012 Approved
Call Number UAI @ eduardo.moreno @ Serial 101
Permanent link to this record
 

 
Author Villena, M.J.; Araneda, A.A.
Title Dynamics and stability in retail competition Type
Year 2017 Publication Mathematics And Computers In Simulation Abbreviated Journal Math. Comput. Simul.
Volume 134 Issue Pages 37-53
Keywords Multi-market oligopoly; Cournot-Nash competition; Economies of scale; Stability; Chaos
Abstract Retail competition today can be described by three main features: (i) oligopolistic competition, (ii) multi-store settings, and (iii) the presence of large economies of scale. In these markets, firms usually apply a centralized decisions making process in order to take full advantage of economies of scales, e.g. retail distribution centers. In this paper, we model and analyze the stability and chaos of retail competition considering all these issues. In particular, a dynamic multi-market Cournot Nash equilibrium with global economies and diseconomies of scale model is developed. We confirm the non-intuitive hypothesis that retail multi-store competition is more unstable than traditional small business that cover the same demand. The main sources of stability are the scale parameter, the number of markets, and the number of firms. (C) 2016 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.
Address [Villena, Marcelo J.; Araneda, Axel A.] Univ Adolfo Ibanez, Fac Sci & Engn, Avda Diagonal Torres 2640, Santiago 7941169, Chile, Email: marcelo.villena@uai.cl;
Corporate Author Thesis
Publisher Elsevier Science Bv Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0378-4754 ISBN Medium
Area Expedition Conference
Notes WOS:000392792900004 Approved
Call Number UAI @ eduardo.moreno @ Serial 695
Permanent link to this record