Bootstrap Tests for High-dimensional White-Noise

Journal of Business & Economic Statistics

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Bibliographic Details
Main Authors: Lengyang Wang, Efang Kong, Yingcun Xia
Other Authors: STATISTICS AND DATA SCIENCE
Format: Article
Published: Taylor & Francis 2023
Online Access:https://scholarbank.nus.edu.sg/handle/10635/236349
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-2363492023-01-25T06:22:19Z Bootstrap Tests for High-dimensional White-Noise Lengyang Wang Efang Kong Yingcun Xia STATISTICS AND DATA SCIENCE Journal of Business & Economic Statistics 41 1 241-254 2023-01-25T06:22:18Z 2023-01-25T06:22:18Z 26/1/2022 Article Lengyang Wang, Efang Kong, Yingcun Xia (26/1/2022). Bootstrap Tests for High-dimensional White-Noise. Journal of Business & Economic Statistics 41 (1) : 241-254. ScholarBank@NUS Repository. 0735-0015 https://scholarbank.nus.edu.sg/handle/10635/236349 Taylor & Francis Taylor & Francis
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description Journal of Business & Economic Statistics
author2 STATISTICS AND DATA SCIENCE
author_facet STATISTICS AND DATA SCIENCE
Lengyang Wang
Efang Kong
Yingcun Xia
format Article
author Lengyang Wang
Efang Kong
Yingcun Xia
spellingShingle Lengyang Wang
Efang Kong
Yingcun Xia
Bootstrap Tests for High-dimensional White-Noise
author_sort Lengyang Wang
title Bootstrap Tests for High-dimensional White-Noise
title_short Bootstrap Tests for High-dimensional White-Noise
title_full Bootstrap Tests for High-dimensional White-Noise
title_fullStr Bootstrap Tests for High-dimensional White-Noise
title_full_unstemmed Bootstrap Tests for High-dimensional White-Noise
title_sort bootstrap tests for high-dimensional white-noise
publisher Taylor & Francis
publishDate 2023
url https://scholarbank.nus.edu.sg/handle/10635/236349
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