Weixin Yao

Statistics and Probability · 2012–2014

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 25 citations into it; #6,590 of 12,932 by trust here, #10,275 by citations
• Artificial Intelligence — 8 citations into it; #24,503 of 35,345 by trust here, #32,362 by citations

Whom Weixin Yao trusts overall

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

1. Jianqing Fan
2. Sylvia Frühwirth-Schnatter
3. Peter J. Rousseeuw
4. Runze Li
5. Peter Filzmoser
6. Michael I. Jordan
7. Yiyuan She
8. Zongwu Cai
9. Jerome H. Friedman
10. Irène Gijbels

Who trusts Weixin Yao overall

1. Weihua Zhao
2. Yinjun Wu
3. Riquan Zhang
4. Chun Yu
5. Jicai Liu

Papers from Weixin Yao's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Local polynomial modelling and its applications
3. Generalized likelihood ratio statistics and Wilks phenomenon
4. Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)
5. Hierarchical Mixtures of Experts and the EM Algorithm
6. Estimating the Dimension of a Model
7. Dealing with label switching in mixture models
8. Variable Selection in Semiparametric Regression Modeling. (Annals of Statistics)
9. Profile likelihood inferences on semiparametric varying-coefficient partially linear models
10. Model selection and estimation in regression with grouped variables

Their papers

• A New Regression Model: Modal Linear Regression (2014) — 243 citations
• Robust linear regression: A review and comparison (2014) — 254 citations
• Mixture of Regression Models With Varying Mixing Proportions: A Semiparametric Approach (2012) — 103 citations