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Zhou Zhou

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.ST2
  • physics.optics1
  • stat.ME1
ORCID 0000-0002-6490-8945
same name
  • Zhou Zhou — 14 papers, h 22
  • Zhou Zhou — 12 papers, h 12
  • Zhou Zhou — 3 papers, h 18
  • Zhou Zhou — 2 papers
  • Zhou Zhou — 2 papers
  • Zhou Zhou — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedSimultaneous Sieve Inference for Time-Inhomogeneous Nonlinear Time Series Regression

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ME2024

Inference for non-stationary time series quantile regression with inequality constraints

Yuan Sun, Zhou Zhou

We consider parameter inference for linear quantile regression with non-stationary predictors and errors, where the regression parameters are subject to inequality constraints. We…

physics.optics2024★ 1 cited

Tailoring spatiotemporal wavepackets via two-dimensional space-time duality

Wei Chen, Anzhuo Yu, Zhou Zhou +5

Space-time (ST) beams, ultrafast optical wavepackets with customized spatial and temporal characteristics, present a significant contrast to conventional spatial-structured light a…

math.ST2024

On the partial autocorrelation function for locally stationary time series: characterization, estimation and inference

Xiucai Ding, Zhou Zhou

For stationary time series, it is common to use the plots of partial autocorrelation function (PACF) or PACF-based tests to explore the temporal dependence structure of such proces…

math.ST2021★ 1 cited

Simultaneous Sieve Inference for Time-Inhomogeneous Nonlinear Time Series Regression

Xiucai Ding, Zhou Zhou

In this paper, we consider the time-inhomogeneous nonlinear time series regression for a general class of locally stationary time series. On one hand, we propose sieve nonparametri…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.