Arwa S. Sayegh

Environmental Engineering · 2014

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 8 citations into it
• Statistics and Probability — 7 citations into it
• Health, Toxicology and Mutagenesis — 6 citations into it
• Nature and Landscape Conservation — 5 citations into it

Whom Arwa S. Sayegh trusts overall

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

1. Jerome H. Friedman
2. Grace Wahba
3. Simon N. Wood
4. Greg Ridgeway
5. R. West
6. Brian S. Cade
7. Antoine Guisan
8. Jane Elith
9. Dirk G. Baur
10. Francesca Dominici

Papers from Arwa S. Sayegh's perspective

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

1. Stochastic gradient boosting
2. Generalized Linear Models
3. Spline Models for Observational Data
4. A working guide to boosted regression trees.
5. Generalized linear and generalized additive models in studies of species distributions: setting the scene
6. A gentle introduction to quantile regression for ecologists
7. R: A language and environment for statistical computing.
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. Regression Shrinkage and Selection via the Lasso

Their papers

• Comparing the Performance of Statistical Models for Predicting PM10 Concentrations (2014) — 104 citations