Jun Shao

Statistics and Probability · with Chen · 2000–2016

A researcher in the Science corpus: 12 papers; trusts 40 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 51 citations into it; #1,723 of 12,932 by trust here, #3,330 by citations
• Artificial Intelligence — 12 citations into it; #33,880 of 35,345 by trust here, #32,362 by citations
• Control and Systems Engineering — 6 citations into it
• Statistical Learning Theory — 6 citations into it

Whom Jun Shao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Bradley Efron
2. Jianqing Fan
3. Robert Tibshirani
4. Hui Zou
5. Cun-Hui Zhang
6. Trevor J. Hastie
7. James M. Robins
8. Jiahua Chen
9. Lars Peter Hansen
10. Runze Li

Who trusts Jun Shao overall

1. C. Field
2. Kosuke Morikawa
3. Jae Kwang Kim
4. Yoed N. Kenett
5. Alan H. Welsh
6. Rebecca Andridge
7. Wang Miao
8. Steen Magnussen
9. Ronald E. McRoberts
10. Roger E. Beaty

Papers from Jun Shao's perspective

Ordered by how strongly the researchers Jun Shao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Shrinkage and Selection via the Lasso
2. Addendum: Regularization and variable selection via the elastic net
3. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
4. The Adaptive Lasso and Its Oracle Properties
5. Sure independence screening for ultrahigh dimensional feature space
6. Model selection and estimation in regression with grouped variables
7. ImageNet classification with deep convolutional neural networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. The central role of the propensity score in observational studies for causal effects
10. Asymptotics for lasso-type estimators

Their papers

• Estimation in high-dimensional linear models with deterministic design matrices (2012) — 78 citations
• Jackknife Variance Estimation for Nearest-Neighbor Imputation (2001) — 129 citations
• Estimation With Survey Data Under Nonignorable Nonresponse or Informative Sampling (2002) — 141 citations
• Statistical Methods for Handling Incomplete Data (2013) — 195 citations
• Impact of the Bootstrap on Sample Surveys (2003) — 81 citations
• Semiparametric inverse propensity weighting for nonignorable missing data (2016) — 158 citations
• Semiparametric Pseudo-Likelihoods in Generalized Linear Models With Nonignorable Missing Data (2015) — 146 citations
• An Instrumental Variable Approach for Identification and Estimation with Nonignorable Nonresponse (2014) — 215 citations
• Efficient and Doubly Robust Imputation for Covariate-Dependent Missing Responses (2008) — 77 citations
• PSEUDO-R 2 IN LOGISTIC REGRESSION MODEL (2006) — 145 citations
• A Repeated Half­Sample Bootstrap and Balanced Repeated Replications for Randomly Imputed Data (2001) — 49 citations
• Nearest Neighbor Imputation for Survey Data (2000) — 321 citations