Chong Gu
Statistics and Probability · 1991–2005
A researcher in the Science corpus: 7 papers; trusts 11 researchers and is trusted by 130 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 10 citations into it; #198 of 12,932 by trust here, #1,034 by citations
Whom Chong Gu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Grace Wahba
- Peter Craven
- Trevor J. Hastie
- John E. Dennis Jr.
- Young-Ju Kim
- Robert Tibshirani
- Simon N. Wood
- Philip E. Gill
- Bobby Schnabel
- G. Kimeldorf
Who trusts Chong Gu overall
- Simon N. Wood
- Francis R. Bach
- Young-Ju Kim
- Sang-Im Lee-Kim
- David Kristjanson Duvenaud
- Giles Hooker
- Hao Helen Zhang
- Zhiqiang Tan
- Chenlei Leng
- Zuofeng Shang
Papers from Chong Gu's perspective
Ordered by how strongly the researchers Chong Gu trusts endorse each paper. Same corpus, a different order for every researcher.
- Spline Models for Observational Data
- Smoothing noisy data with spline functions
- Generalized Additive Models
- Smoothing Spline Anova Models
- Linear Smoothers and Additive Models
- Practical optimization
- A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines
- Numerical methods for unconstrained optimization and nonlinear equations
- Regression Shrinkage and Selection via the Lasso
- Modelling and smoothing parameter estimation with multiple quadratic penalties
Their papers
- Smoothing Spline Anova Models (2002) — 1,128 citations
- Penalized likelihood regression: General formulation and efficient approximation (2002) — 90 citations
- Smoothing spline Gaussian regression: more scalable computation via efficient approximation (2004) — 321 citations
- Optimal smoothing in nonparametric mixed-effect models (2005) — 70 citations
- PENALIZED LIKELIHOOD DENSITY ESTIMATION: DIRECT CROSS-VALIDATION AND SCALABLE APPROXIMATION (2003) — 49 citations
- Smoothing spline density estimation: theory (1993)
- Minimizing GCV/GML Scores with Multiple Smoothing Parameters via the Newton Method (1991)