S. Spiriti

Statistics and Probability · 2013

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

Whom S. Spiriti trusts overall

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

  1. David Ruppert
  2. Saad T. Bakir
  3. Thomas C. M. Lee
  4. Grace Wahba
  5. Peter Craven
  6. Chang Wook Ahn
  7. Pierre L'Ecuyer
  8. James C. Spall
  9. Sanghoun Oh
  10. Richard J. Simard

Papers from S. Spiriti's perspective

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

  1. Spline Models for Observational Data
  2. Selecting the Number of Knots for Penalized Splines
  3. Nonparametric Regression and Spline Smoothing (Technometrics)
  4. Smoothing noisy data with spline functions
  5. A COMPARISON OF MIXED MODEL SPLINES FOR CURVE FITTING
  6. Introduction to stochastic search and optimization - estimation, simulation, and control
  7. On algorithms for ordinary least squares regression spline fitting: A comparative study
  8. On the practical genetic algorithms (Annual Conference on Genetic and Evolutionary Computation)
  9. Minimization by Random Search Techniques
  10. An Object-Oriented Random-Number Package with Many Long Streams and Substreams (Operational Research)

Their papers