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How the instability of ranks under long memory affects large-sample
  inference

How the instability of ranks under long memory affects large-sample inference

3 October 2016
Shuyang Bai
M. Taqqu
ArXivPDFHTML

Papers citing "How the instability of ranks under long memory affects large-sample inference"

6 / 6 papers shown
Title
A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions
A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions
P. Abry
G. Didier
Oliver Orejola
H. Wendt
81
0
0
30 Jan 2025
On optimal block resampling for Gaussian-subordinated long-range
  dependent processes
On optimal block resampling for Gaussian-subordinated long-range dependent processes
Qihao Zhang
S. Lahiri
D. Nordman
16
2
0
02 Aug 2022
Wavelet eigenvalue regression in high dimensions
Wavelet eigenvalue regression in high dimensions
P. Abry
B. C. Boniece
G. Didier
H. Wendt
17
4
0
09 Aug 2021
Reduction principle for functionals of strong-weak dependent vector
  random fields
Reduction principle for functionals of strong-weak dependent vector random fields
Andriy Olenko
D. Omari
18
3
0
01 May 2020
Representations of Hermite processes using local time of intersecting
  stationary stable regenerative sets
Representations of Hermite processes using local time of intersecting stationary stable regenerative sets
Shuyang Bai
13
6
0
16 Oct 2019
Sensivity of the Hermite rank
Sensivity of the Hermite rank
Shuyang Bai
M. Taqqu
29
0
0
04 Oct 2017
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