Su Chen
2015
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Su Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Su Chen's perspective
Ordered by how strongly the researchers Su Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Kernel Smoothing
- An alternative method of cross-validation for the smoothing of density estimates
- Density Estimation for Statistics and Data Analysis
- I and J
- Local Bandwidth Selection for Kernel Estimates
- Some Aspects of the Spline Smoothing Approach to Non‐Parametric Regression Curve Fitting
- Smoothing noisy data with spline functions
- Ideal spatial adaptation by wavelet shrinkage
- A Practical Guide to Splines
- Spline Models for Observational Data
Their papers
- Optimal Bandwidth Selection for Kernel Density Functionals Estimation (2015) — 79 citations