L. Boulonne

Statistics and Probability · 2009–2014

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom L. Boulonne trusts overall

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

  1. Jerome H. Friedman
  2. Jane Elith

Papers from L. Boulonne's perspective

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

  1. Stochastic gradient boosting
  2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  3. Why do we still use stepwise modelling in ecology and behaviour? (Journal of Animal Ecology)
  4. Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models
  5. A working guide to boosted regression trees.
  6. R: A language and environment for statistical computing.
  7. Extrapolating regional soil landscapes from an existing soil map: Sampling intensity, validation procedures, and integration of spatial context
  8. Predicting tree species presence and basal area in Utah: A comparison of stochastic gradient boosting, generalized additive models, and tree-based methods
  9. Generalized Boosted Models: A guide to the gbm package
  10. Assessing uncertainty propagation through physically based models of soil water flow and solute transport

Their papers