Ping Ma
Statistics and Probability · with Gu · 2005
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 5 citations into it
Whom Ping Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ping Ma's perspective
Ordered by how strongly the researchers Ping Ma trusts endorse each paper. Same corpus, a different order for every researcher.
- Spline Models for Observational Data
- Smoothing noisy data with spline functions
- Smoothing Spline Anova Models
- Smoothing spline Gaussian regression: more scalable computation via efficient approximation
- A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines
- Linear Smoothers and Additive Models
- Numerical methods for unconstrained optimization and nonlinear equations
- Minimizing GCV/GML Scores with Multiple Smoothing Parameters via the Newton Method
- Estimating Optimal Transformations for Multiple Regression and Correlation.
- Gentleman R: R: A language for data analysis and graphics
Their papers
- Optimal smoothing in nonparametric mixed-effect models (2005) — 70 citations