G. Ambler

Statistics and Probability · 2001–2015

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom G. Ambler trusts overall

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

  1. Robert Tibshirani
  2. Hui Zou
  3. Sunil Rao
  4. G. Oehlert
  5. Trevor J. Hastie
  6. Jian Huang
  7. Jianqing Fan
  8. Georg Heinze
  9. Ewout W. Steyerberg
  10. Patrick Breheny

Who trusts G. Ambler overall

  1. Willi Sauerbrei
  2. Patrick Royston
  3. C. Meier-Hirmer
  4. Haiming Zhou
  5. M. van Smeden
  6. Harald Binder
  7. Axel Benner

Papers from G. Ambler's perspective

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

  1. The Adaptive Lasso and Its Oracle Properties
  2. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
  3. COORDINATE DESCENT ALGORITHMS FOR NONCONVEX PENALIZED REGRESSION, WITH APPLICATIONS TO BIOLOGICAL FEATURE SELECTION (Annals of Applied Statistics)
  4. Clinical Prediction Models—a Practical Approach to Development, Validation and Updating
  5. A solution to the problem of separation in logistic regression (Statistics in Medicine)
  6. Adaptive Lasso for sparse high-dimensional regression models
  7. Regression Shrinkage and Selection via the Lasso
  8. Bootstrapping Lasso Estimators
  9. The Bayesian Lasso
  10. Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints (BMC Medical Research Methodology)

Their papers