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With noisy and asynchronous high-frequency data collected for an ultra-large number of assets, we estimate high-dimensional spot volatility matrices satisfying a low-rank plus sparse structure. A loca...
The currently existing estimation methods and goodness-of-fit tests for the Cox model mainly deal with right censored data, but they do not have direct extension to other complicated types of censored...
Motivated by estimation and testing with doubly censored data, we study (robust) Lestimators and M-estimators based on such data. These estimators are given through functionals of the self-consistent ...
We propose a class of hierarchical generalized linear models (HGLMs) with random dispersions in this paper, and focus on the properties of the L-N estimators for the fixed effect β in the extended Po...
We prove the existence of short time, low regularity solutions to the incompressible, isotropic Lagrangian Averaged Navier-Stokes equations with initial data in Sobolev spaces. In the special case of...
This paper investigates compression of data encrypted with block ciphers, such as the Advanced Encryption Standard (AES). It is shown that such data can be feasibly compressed without knowledge of th...
期刊信息 篇名 A cross-associative neural network for SVD of nonsquared data matrix in signal processing 语种 英文 撰写或编译 撰写 作者 Da-Zheng Feng,Zheng Bao and Xian-Da Zhang 第一作者单位 西安电子科技大学 刊物名称 IEEE Trans. Neural Ne...
期刊信息 篇名 A cross-associative neural network used as SVD of non-square data matrix or cross-correlation matrix in signal processing 语种 英文 撰写或编译 撰写 作者 Da-Zheng Feng,Hai-Qin Zhang,Xian-Da Zhang,and Zheng ...

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