Naisyin Wang

Statistics and Probability · 2000–2006

A researcher in the Science corpus: 9 papers; trusts 17 researchers and is trusted by 56 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 34 citations into it; #698 of 12,932 by trust here, #1,282 by citations
• Artificial Intelligence — 14 citations into it; #5,483 of 35,345 by trust here, #11,750 by citations

Whom Naisyin Wang trusts overall

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

1. Xihong Lin
2. Peter J. Rousseeuw
3. K. Liang
4. Christophe Croux
5. Raymond J. Carroll
6. Arjun K. Gupta
7. Bradley Efron
8. James M. Robins
9. Scott Zeger
10. Wolfgang Karl Härdle

Who trusts Naisyin Wang overall

1. Jane-ling Wang
2. Xihong Lin
3. Jianqing Fan
4. Jianhua Z. Huang
5. Jianhui Zhou
6. Raymond J. Carroll
7. Peisong Han
8. Jeng-Min Chiou
9. Annie Qu
10. Shujie Ma

Papers from Naisyin Wang's perspective

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

1. Longitudinal data analysis using generalized linear models
2. Nonparametric regression and generalized linear models
3. Nonparametric Regression and Spline Smoothing (Technometrics)
4. Estimation of Regression Coefficients When Some Regressors are not Always Observed
5. Semiparametric regression for clustered data
6. On repeated measures analysis with misspecified covariance structure
7. Equivalent Kernels of Smoothing Splines in Nonparametric Regression for Clustered/Longitudinal Data
8. Linear Smoothers and Additive Models
9. Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)
10. Spline Models for Observational Data

Their papers

• Inference for imputation estimators (2000) — 302 citations
• Marginal nonparametric kernel regression accounting for within‐subject correlation (2003) — 219 citations
• Efficient Semiparametric Marginal Estimation for Longitudinal/Clustered Data (2005) — 189 citations
• Profile‐kernel versus backfitting in the partially linear models for longitudinal/clustered data (2004) — 56 citations
• Equivalent Kernels of Smoothing Splines in Nonparametric Regression for Clustered/Longitudinal Data (2004) — 100 citations
• Smoothing spline estimation in varying‐coefficient models (2004) — 100 citations
• Efficient semiparametric estimator for heteroscedastic partially linear models (2006) — 70 citations
• Partially linear single-index measurement error models (2005) — 79 citations
• Nearest-Neighbor Variance Estimation (NNVE) (2002) — 57 citations