M. Risse

Economics and Econometrics · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 12 citations into it

Whom M. Risse trusts overall

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

1. Leo Breiman
2. Trevor J. Hastie

Papers from M. Risse's perspective

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

1. Random Forests
2. R: A language and environment for statistical computing.
3. Bagging Predictors
4. Boosting the margin: A new explanation for the effectiveness of voting methods
5. Shape Quantization and Recognition with Randomized Trees
6. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
7. Arcing classifier (with discussion and a rejoinder by the author)
8. The Nature of Statistical Learning Theory
9. Consistent Nonparametric Regression
10. Experiments with a New Boosting Algorithm

Their papers

• Forecasting precious metal returns with multivariate random forests (2018) — 51 citations