Matthias Schmid

Statistics and Probability · 2010–2019

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Matthias Schmid trusts overall

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

  1. Jerome H. Friedman
  2. Peter Buhlmann
  3. Robert Tibshirani
  4. Alan Y. Chiang
  5. David Ruppert

Who trusts Matthias Schmid overall

  1. Peter Buhlmann
  2. Thomas Kneib
  3. Torsten Hothorn

Papers from Matthias Schmid's perspective

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

  1. Spline Models for Observational Data
  2. Greedy function approximation: A gradient boosting machine.
  3. The Elements of Statistical Learning
  4. The Nature of Statistical Learning Theory
  5. Experiments with a New Boosting Algorithm
  6. Generalized Additive Models
  7. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  8. A Practical Guide to Splines
  9. Generalized Additive Models: An Introduction With R
  10. Nonparametric Regression and Generalized Linear Models: A roughness penalty approach

Their papers