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Dependent Data in Economic and Financial Problems

  1. 1.
    SYSNO ASEP0364654
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleDependent Data in Economic and Financial Problems
    Author(s) Kaňková, Vlasta (UTIA-B) RID
    Source TitleProceedings of the 29th International Conference Mathematical Methods in Economics 2011, 1 - Part I. - Praha : Professional Publishing, Mikulova 1572/13, 149 00 Praha 4, Czech Republic, 2011 / Dlouhý Martin ; Skočdopolová Veronika - ISBN 978-80-7431-058-4
    Pagess. 327-332
    Number of pages6 s.
    Action29th International Conference Mathematical Methods in Economics 2011
    Event date06.09.2011-09.09.2011
    VEvent locationJanská Dolina
    CountrySK - Slovakia
    Event typeEUR
    Languageeng - English
    CountryCZ - Czech Republic
    KeywordsStochastic programming ; Wasserstein metric ; L_1norm ; Empirical estimates ; One-stage problems ; Multistage problems ; Independent samples ; m-dependent samples ; Markov dependence ; Phi-mixing random samples
    Subject RIVBB - Applied Statistics, Operational Research
    R&D ProjectsGAP402/10/1610 GA ČR - Czech Science Foundation (CSF)
    GAP402/11/0150 GA ČR - Czech Science Foundation (CSF)
    GAP402/10/0956 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    UT WOS000309074600055
    AnnotationOptimization problems depending on a probability measure correspond to many economic and financial applications. The paper deals with the case when an empirical measure substitutes the theoretical one. Especially the paper deals with a convergence rate of the corresponding estimates. ``Classical" results for independent samples are recalled, situations in which the case of dependent sample can be (from the mathematical point of view) reduced to independent case are mentioned. A great attention is paid to weak dependent samples fulfilling the Phi-mixing condition.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2012
Number of the records: 1  

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