Jean-Baptiste Paroissien

2014

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

Papers from Jean-Baptiste Paroissien's perspective

Ordered by how strongly the researchers Jean-Baptiste Paroissien trusts endorse each paper. Same corpus, a different order for every researcher.

1. R: A language and environment for statistical computing.
2. A working guide to boosted regression trees.
3. Stochastic gradient boosting
4. Experiments with a New Boosting Algorithm
5. Pattern Recognition and Neural Networks
6. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
7. Special Invited Paper-Additive logistic regression: A statistical view of boosting
8. Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
9. Spatial modelling of biodiversity at the community level
10. Extended statistical approaches to modelling spatial pattern in biodiversity in northeast New South Wales. II. Community-level modelling (Biodiversity and Conservation)

Their papers

• Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale (2014) — 137 citations