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Yichao Wu

20 papers hereh-index 356k citations107 works total

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

author position
  • first author1
  • middle author13
  • last author6

Across the 20 of 20 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • math.ST4
  • stat.AP3
  • stat.ME3
  • cs.LG2
  • stat.CO1
same name
  • Yichao Wu — 10 papers, h 12
  • Yichao Wu — 8 papers, h 4
  • Yichao Wu — 7 papers, h 2
  • Yichao Wu — 3 papers, h 2
  • Yichao Wu — 2 papers, h 0
  • Yichao Wu — 2 papers, h 3

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
20082021
most citedNetwork exploration via the adaptive LASSO and SCAD penalties

307 citations · 624 across the 19 of their papers we have counts for

collaborators
Showing math.STShow all

4 papers · 1 filter

math.ST2015★ 30 cited

Local independence feature screening for nonparametric and semiparametric models by marginal empirical likelihood

Jinyuan Chang, Cheng Yong Tang, Yichao Wu

We consider an independence feature screening technique for identifying explanatory variables that locally contribute to the response variable in high-dimensional regression analys…

math.ST2013★ 72 cited

Marginal empirical likelihood and sure independence feature screening

Jinyuan Chang, Cheng Yong Tang, Yichao Wu

We study a marginal empirical likelihood approach in scenarios when the number of variables grows exponentially with the sample size. The marginal empirical likelihood ratios as fu…

math.ST2011★ 44 cited

Varying-coefficient functional linear regression

Yichao Wu, Jianqing Fan, Hans-Georg Müller

Functional linear regression analysis aims to model regression relations which include a functional predictor. The analog of the regression parameter vector or matrix in convention…

math.ST2009★ 33 cited

Local quasi-likelihood with a parametric guide

Jianqing Fan, Yichao Wu, Yang Feng

Generalized linear models and the quasi-likelihood method extend the ordinary regression models to accommodate more general conditional distributions of the response. Nonparametric…

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