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math.ST2022
On the integrated mean squared error of wavelet density estimation for linear processes
Aleksandr Beknazaryan, Hailin Sang, Peter Adamic
Let be a linear process with density function . We study wavelet density estimation of . Under some regular conditions on the characterist…
math.ST2019★ 13 cited
Cramér Type Moderate Deviations for Random Fields
Aleksandr Beknazaryan, Hailin Sang, Yimin Xiao
We study the Cramér type moderate deviation for partial sums of random fields by applying the conjugate method. The results are applicable to the partial sums of linear random fiel…
math.ST2018★ 1 cited
On mutual information estimation for mixed-pair random variables
Aleksandr Beknazaryan, Xin Dang, Hailin Sang
We study the mutual information estimation for mixed-pair random variables. One random variable is discrete and the other one is continuous. We develop a kernel method to estimate…