Weighted covariance matrix estimation

The paper proposes a cross-validated linear shrinkage estimation for population covariance matrices. Moreover we also propose a novel weighted estimator based on the thresholding and shrinkage methods for high dimensional datasets. It is applicable to a wider scope of different structures of covaria...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Yang, Guangren, Liu, Yiming, Pan, Guangming
مؤلفون آخرون: School of Physical and Mathematical Sciences
التنسيق: مقال
اللغة:English
منشور في: 2020
الموضوعات:
الوصول للمادة أونلاين:https://hdl.handle.net/10356/144459
الوسوم: إضافة وسم
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المؤسسة: Nanyang Technological University
اللغة: English
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spelling sg-ntu-dr.10356-1444592023-02-28T19:22:04Z Weighted covariance matrix estimation Yang, Guangren Liu, Yiming Pan, Guangming School of Physical and Mathematical Sciences Science::Mathematics Thresholding Shrinkage The paper proposes a cross-validated linear shrinkage estimation for population covariance matrices. Moreover we also propose a novel weighted estimator based on the thresholding and shrinkage methods for high dimensional datasets. It is applicable to a wider scope of different structures of covariance matrices. Some theoretical results about the cross-validated shrinkage method and weighted covariance estimation methods are also developed. The finite-sample performance of the proposed methods is illustrated through extensive simulations and real data analysis. Accepted version 2020-11-06T03:03:27Z 2020-11-06T03:03:27Z 2019 Journal Article Yang, G., Liu, Y., & Pan, G. (2019). Weighted covariance matrix estimation. Computational Statistics & Data Analysis, 139, 82–98. doi:10.1016/j.csda.2019.04.017 0167-9473 https://hdl.handle.net/10356/144459 10.1016/j.csda.2019.04.017 139 82 98 en Computational Statistics & Data Analysis © 2019 Elsevier B.V. All rights reserved. This paper was published in Computational Statistics & Data Analysis and is made available with permission of Elsevier B.V. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Mathematics
Thresholding
Shrinkage
spellingShingle Science::Mathematics
Thresholding
Shrinkage
Yang, Guangren
Liu, Yiming
Pan, Guangming
Weighted covariance matrix estimation
description The paper proposes a cross-validated linear shrinkage estimation for population covariance matrices. Moreover we also propose a novel weighted estimator based on the thresholding and shrinkage methods for high dimensional datasets. It is applicable to a wider scope of different structures of covariance matrices. Some theoretical results about the cross-validated shrinkage method and weighted covariance estimation methods are also developed. The finite-sample performance of the proposed methods is illustrated through extensive simulations and real data analysis.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Yang, Guangren
Liu, Yiming
Pan, Guangming
format Article
author Yang, Guangren
Liu, Yiming
Pan, Guangming
author_sort Yang, Guangren
title Weighted covariance matrix estimation
title_short Weighted covariance matrix estimation
title_full Weighted covariance matrix estimation
title_fullStr Weighted covariance matrix estimation
title_full_unstemmed Weighted covariance matrix estimation
title_sort weighted covariance matrix estimation
publishDate 2020
url https://hdl.handle.net/10356/144459
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