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Работы, цитирующие эту работу

Работ: 7

Работа: Association of Random Variables, with Applications

  1. Central limit theorem and invariance principle for associated random fields

    Abdurakhman Mukhamedov

    СтатьяProbability and Risk ModelsAIP conference proceedings2021Цитирований: 1
    ABI

  2. Comparison Results for GARCH Processes

    Fabio Bellini, Franco Pellerey, Carlo Sgarra +1

    ПрепринтFinancial Risk and Volatility ModelingJournal of Applied Probability2012Цитирований: 0
    ABI

  3. Uniform convergence of an estimator of empirical survival function and nuclear estimates of density from stationary sequences of strongly linearly positive quadrant dependent random variables

    Abdurakhman Muhamedov

    СтатьяProbability and Risk ModelsAIP conference proceedings2023Цитирований: 0
    ABI

  4. Asymptotical properties of the estimator of two-dimensional distributions from stationary sequences of positively quadrant dependent random variables

    Abdurakhman Muhamedov

    СтатьяProbability and Risk ModelsAIP conference proceedings2023Цитирований: 0
    ABI

  5. Strong consistency of density function estimates from stationary sequences of linearly positive quadrant dependent random variables

    Abdurahman Muhamedov

    СтатьяProbability and Risk ModelsAIP conference proceedings2023Цитирований: 0
    ABI

  6. Convergence test statistic of kernel estimators of a density function from stationary sequence of strongly linearly positive quadrant dependent random variables

    Abdurakhman Muhamedov

    СтатьяProbability and Risk ModelsAIP conference proceedings2024Цитирований: 0
    ABI

  7. Moment Inequality, Central Limit Theorem, and the Invariance Principle for Linearly Positive Quadrant Dependent Random Fields

    Abdurakhman Mukhamedov

    СтатьяProbability and Risk ModelsUkrainian Mathematical Journal2025Цитирований: 0
    ABI