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Donatas Surgailis – författare

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4 produkter

  1. Liudas Giraitis, Hira L Koul, Donatas Surgailis - LARGE SAMPLE INFERENCE FOR LONG MEMORY PROCESSES, Inbunden. Tillgänglighet: Lägg i varukorg

    LARGE SAMPLE INFERENCE FOR LONG MEMORY PROCESSES

    Av Liudas Giraitis, Hira L Koul m. fl.

    Inbunden, 2012

    1612 kr

    Lägg i varukorg

    Box and Jenkins (1970) made the idea of obtaining a stationary time series by differencing the given, possibly nonstationary, time series popular. Numerous time series in economics are found to have this property. Subsequently, Granger and Joyeux (1980) and Hosking (1981) found examples of time …

  2. Paul Doukhan, Gabriel Lang, Donatas Surgailis, Gilles Teyssière - Dependence in Probability and Statistics, Häftad. Tillgänglighet: Lägg i varukorg

    Dependence in Probability and Statistics

    Av Paul Doukhan, Gabriel Lang m. fl.

    Häftad, 2010

    550 kr

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    This volume contains several contributions on the general theme of dependence for several classes of stochastic processes, andits implicationson asymptoticproperties of various statistics and on statistical inference issues in statistics and econometrics. The chapter by Berkes, Horvath and Schauer …

  3. Gilles Teyssiere, Donatas Surgailis, Gabriel Lang, Paul Doukhan - Dependence in Probability and Statistics, E-bok. Tillgänglighet: Lägg i varukorg

    Dependence in Probability and Statistics

    Av Gilles Teyssiere, Donatas Surgailis m. fl.

    E-bok, 2010

    734 kr

    Lägg i varukorg

  4. Donatas Surgailis - ANISOTROPIC SCALING OF RANDOM FIELDS WITH LONG-RANGE DEPENDENCE: SCALING LIMITS OF RANDOM FIELDS WITH APPLICATIONS, Inbunden. Tillgänglighet: Lägg i varukorg

    ANISOTROPIC SCALING OF RANDOM FIELDS WITH LONG-RANGE DEPENDENCE: SCALING LIMITS OF RANDOM FIELDS WITH APPLICATIONS

    Av Donatas Surgailis

    Inbunden, 2026

    2122 kr

    Lägg i varukorg

    Anisotropic Scaling of Random Fields with Long-Range Dependence is primarily interested in two questions: are there scaling limits for all γ>0 ratios? And if so, what are they? By introducing the concept of a scaling transition and discussing its existence for Gaussian models, moving-average …