Young-Ju Kim

Statistics and Probability · 2002–2004

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Young-Ju Kim trusts overall

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

  1. Chong Gu
  2. Grace Wahba
  3. Simon N. Wood
  4. G. Kimeldorf
  5. Leo Breiman
  6. Peter Craven
  7. John E. Dennis Jr.
  8. David I. Gottlieb
  9. Jerome H. Friedman
  10. Trevor J. Hastie

Who trusts Young-Ju Kim overall

  1. Simon N. Wood
  2. Stelios Katsanevakis
  3. Chong Gu
  4. Giampiero Marra
  5. Matteo Fasiolo
  6. D. Bakker
  7. Jay Barlow
  8. Karin A. Forney
  9. Ping Ma
  10. Rosalba Radice

Papers from Young-Ju Kim's perspective

Ordered by how strongly the researchers Young-Ju Kim trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Spline Models for Observational Data
  2. Smoothing noisy data with spline functions
  3. Linear Smoothers and Additive Models
  4. Smoothing Spline Anova Models
  5. Modelling and smoothing parameter estimation with multiple quadratic penalties
  6. A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines
  7. Numerical methods for unconstrained optimization and nonlinear equations
  8. Estimating Optimal Transformations for Multiple Regression and Correlation.
  9. Gentleman R: R: A language for data analysis and graphics
  10. Minimizing GCV/GML Scores with Multiple Smoothing Parameters via the Newton Method

Their papers