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Jinyuan Chang

39 papers hereh-index 201k citations58 works total

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

author position
  • first author38

Across the 38 of 39 papers where every author was matched, so the position is known.

fields
  • math.ST17
  • stat.ME17
  • econ.EM3
  • stat.CO2
same name
  • Jinyuan Chang — 5 papers, h 2

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

activity
20122026
most citedMarginal empirical likelihood and sure independence feature screening

72 citations · 765 across the 35 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

math.ST2018★ 14 cited

Optimal covariance matrix estimation for high-dimensional noise in high-frequency data

Jinyuan Chang, Qiao Hu, Cheng Liu +1

We consider high-dimensional measurement errors with high-frequency data. Our objective is on recovering the high-dimensional cross-sectional covariance matrix of the random errors…

stat.ME2018★ 18 cited

High-dimensional empirical likelihood inference

Jinyuan Chang, Song Xi Chen, Cheng Yong Tang +1

High-dimensional statistical inference with general estimating equations are challenging and remain less explored. In this paper, we study two problems in the area: confidence set…

stat.ME2018★ 32 cited

Estimation of subgraph density in noisy networks

Jinyuan Chang, Eric D. Kolaczyk, Qiwei Yao

While it is common practice in applied network analysis to report various standard network summary statistics, these numbers are rarely accompanied by uncertainty quantification. Y…

math.ST2018★ 7 cited

A frequency domain analysis of the error distribution from noisy high-frequency data

Jinyuan Chang, Aurore Delaigle, Peter Hall +1

Data observed at high sampling frequency are typically assumed to be an additive composite of a relatively slow-varying continuous-time component, a latent stochastic process or a…

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