Errata on "Testing the number of common factors by bootstrapped sample covariance matrix in high-dimensional factor models"

This is an errata on the paper “Testing the number of common factors by bootstrapped sample covariance matrix in high-dimensional factor models”, by the same authors, mainly on the proof of Lemma 3.2 and associated results.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-03
DOI
https://doi.org/10.5281/zenodo.23900954
Primary Topic
Statistical Methods and Inference
Type
article
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article

Errata on "Testing the number of common factors by bootstrapped sample covariance matrix in high-dimensional factor models"

Wang Zhou, Long Yu, Peng Zhao
Zenodo (CERN European Organization for Nuclear Research)
Statistical Methods and Inference
article

Errata on "Testing the number of common factors by bootstrapped sample covariance matrix in high-dimensional factor models"

Wang Zhou, Long Yu, Peng Zhao
article en

Abstract

This is an errata on the paper “Testing the number of common factors by bootstrapped sample covariance matrix in high-dimensional factor models”, by the same authors, mainly on the proof of Lemma 3.2 and associated results.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 15%
Statistical Methods and Inference
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Errata on "Testing the number of common factors by bootstrapped sample covariance matrix in high-dimensional factor models" — Wang Zhou, Long Yu, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS