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Yang Feng

4 papers hereh-index 467 citations14 works total

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

author position
  • first author2
  • middle author1
  • last author1

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

fields
  • stat.ME3
  • math.ST1
same name
  • Yang Feng — 47 papers, h 29
  • Yang Feng — 38 papers, h 14
  • Yang Feng — 35 papers, h 23
  • Yang Feng — 19 papers, h 14
  • Yang Feng — 17 papers, h 10
  • Yang Feng — 15 papers, h 11

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
20132026
most citedBayesian quantile regression with approximate likelihood

25 citations · 35 across the 3 of their papers we have counts for

collaborators

4 papers

stat.ME2026

The Role of Measured Covariates in Assessing Sensitivity to Unmeasured Confounding

Abhinandan Dalal, Iris Horng, Yang Feng +1

Sensitivity analysis is widely used to assess the robustness of causal conclusions in observational studies, yet its interaction with the structure of measured covariates is often…

stat.ME2016★ 1 cited

Post Selection Shrinkage Estimation for High Dimensional Data Analysis

Xiaoli Gao, S. E. Ahmed, Yang Feng

In high-dimensional data settings where p≫n, many penalized regularization approaches were studied for simultaneous variable selection and estimation. However, with the existe…

math.ST2015★ 25 cited

Bayesian quantile regression with approximate likelihood

Yang Feng, Yuguo Chen, Xuming He

Quantile regression is often used when a comprehensive relationship between a response variable and one or more explanatory variables is desired. The traditional frequentists' appr…

stat.ME2013★ 9 cited

The restricted consistency property of leave-nv​-out cross-validation for high-dimensional variable selection

Yang Feng, Yi Yu

Cross-validation (CV) methods are popular for selecting the tuning parameter in the high-dimensional variable selection problem. We show the mis-alignment of the CV is one possible…

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