Manuel P. Martin

Environmental Engineering · 2008–2019

A researcher in the Science corpus: 8 papers; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Manuel P. Martin trusts overall

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

  1. Jerome H. Friedman
  2. Jane Elith
  3. Niko Speybroeck
  4. David Ruppert
  5. Rick L. Lawrence
  6. Greg Ridgeway
  7. J. Leathwick
  8. Trevor J. Hastie
  9. Giles M. Foody
  10. B. Vos

Who trusts Manuel P. Martin overall

  1. José Padarian
  2. R. H. Razakamanarivo
  3. S. Jalabert
  4. Budiman Minasny
  5. Sabine Grunwald

Papers from Manuel P. Martin's perspective

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

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

Their papers