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Title
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برآورد موجكي مشتق تابع چگالي براي فرايند بطور يكنواخت آميخته قوي
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Type
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Presentation
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Keywords
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Mixing sequences, Multiresolution analysis, Besov space, wavelet, derivative of density.
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Abstract
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We propose a method of estimation of the derivatives of probability density based on wavelets
methods for a sequence of random variables with a common one-dimensional probability density function. We suppose that the process is uniformly strong mixing (? mixing) and we show that the rate of convergence essentially depends on the behavior of a special quadratic characteristic.
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Researchers
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Hamid Karamikabir (Second researcher) , Mahmoud Afshari (Third researcher)
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