Zudi Lu

Statistics and Probability · 2001–2018

A researcher in the Science corpus: 16 papers; trusts 56 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 69 citations into it; #2,347 of 12,932 by trust here, #1,432 by citations
• Economics and Econometrics — 33 citations into it; #7,775 of 23,481 by trust here, #8,485 by citations
• Artificial Intelligence — 28 citations into it; #12,246 of 35,345 by trust here, #19,018 by citations
• Finance — 26 citations into it; #8,282 of 10,518 by trust here, #5,938 by citations
• Management Science and Operations Research — 9 citations into it
• Analytical Chemistry — 8 citations into it
• Control and Systems Engineering — 7 citations into it; #3,000 of 8,257 by trust here, #1,518 by citations
• Statistical Learning Theory — 5 citations into it

Whom Zudi Lu trusts overall

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

1. Jianqing Fan
2. Marc Hallin
3. Jay Breidt
4. William S. Cleveland
5. C. Stone
6. B. Hansen
7. Julian Besag
8. Robert Tibshirani
9. Zongwu Cai
10. Bernard Walter Silverman

Who trusts Zudi Lu overall

1. Jiti Gao
2. Marc Hallin
3. Peter M. Robinson
4. Yiguo Sun
5. Wolfgang Karl Härdle
6. S. Dabo‐Niang
7. Dag Tjøstheim
8. Keming Yu
9. Mika Meitz
10. Chaohua Dong

Papers from Zudi Lu's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
3. Sure independence screening for ultrahigh dimensional feature space
4. Consistent Nonparametric Regression
5. Local polynomial modelling and its applications
6. The Adaptive Lasso and Its Oracle Properties
7. Nonconcave penalized likelihood with a diverging number of parameters
8. Sure independence screening for ultrahigh dimensional feature space Discussion
9. Estimating the Dimension of a Model
10. Robust Locally Weighted Regression and Smoothing Scatterplots

Their papers

• Estimation in semiparametric spatial regression (2006) — 90 citations
• Density estimation for spatial linear processes (2001) — 75 citations
• Kernel density estimation for spatial processes: the L 1 theory (2004) — 72 citations
• Spatial kernel regression estimation: weak consistency. (2004) — 69 citations
• Local linear spatial regression (2004) — 162 citations
• Local Linear Additive Quantile Regression (2004) — 101 citations
• Quantile regression: applications and current research areas (2003) — 735 citations
• A flexible semiparametric forecasting model for time series (2015) — 62 citations
• NONPARAMETRIC SPECIFICATION TESTING FOR NONLINEAR TIME SERIES WITH NONSTATIONARITY (2009) — 67 citations
• Specification testing in nonlinear and nonstationary time series autoregression (2009) — 78 citations
• L1 geometric ergodicity of a multivariate nonlinear AR model with an ARCH term (2001) — 52 citations
• A semiparametric spatial dynamic model (2014) — 89 citations
• Semiparametric Ultra-High Dimensional Model Averaging of Nonlinear Dynamic Time Series (2018) — 63 citations
• Analysis of air quality time series of Hong Kong with graphical modeling (2016)
• Local linear spatial quantile regression (2009) — 120 citations
• CAUSAL LINKAGES AMONG SHANGHAI, SHENZHEN, AND HONG KONG STOCK MARKETS (2004) — 50 citations