چکیده مقاله
In the shrinkage wavelet method, determining the right threshold is important,especially when estimating the location parameter for matrix variate distributions is of interest This paper presents a novel shrinkage wavelet estimator using soft thresholding, which isderived from Stein's unbiased risk estimate SURE , for matrix variate spherically distributeddata Our goal is to nd a class of the soft thresholding shrinkage wavelet estimator using abalanced loss function and evaluate its performance through simulation study
کلیدواژهها
نویسندگان
Fatemeh Jamhiri
Faculty of Intelligent Systems Engineering and Data Science, Persian Gulf University, Bushehr, Iran
Hamid Karamikabir
Faculty of Intelligent Systems Engineering and Data Science, Persian Gulf University, Bushehr, Iran
Mahmoud Afshari
Faculty of Intelligent Systems Engineering and Data Science, Persian Gulf University, Bushehr, Iran
شیوه ارجاع
Jamhiri, Fatemeh and Karamikabir, Hamid and Afshari, Mahmoud,1403,Wavelet Estimation of Matrix-Variate Spherically Distributions,1st International Biennial Conference of Artificial Intelligence and Data Science 2024,Bushehr
ارائهشده در
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