Nora Fenske

Statistics and Probability · 2012

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 13 citations into it
• Artificial Intelligence — 9 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Nora Fenske trusts overall

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

1. Jerome H. Friedman
2. Robert Tibshirani
3. David Ruppert
4. Jun Yan
5. Peter Buhlmann
6. Thomas Kneib
7. Ludwig Fahrmeir
8. Yoav Freund
9. Trevor J. Hastie

Who trusts Nora Fenske overall

1. Thomas Kneib
2. Torsten Hothorn
3. Sonja Greven

Papers from Nora Fenske's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Greedy function approximation: A gradient boosting machine.
3. The Nature of Statistical Learning Theory
4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
5. Experiments with a New Boosting Algorithm
6. Generalized Additive Models
7. PENALIZED STRUCTURED ADDITIVE REGRESSION FOR SPACE-TIME DATA: A BAYESIAN PERSPECTIVE
8. Boosting with the L2-loss: regression and classification
9. Survival Analysis: Techniques for Censored and Truncated Data
10. ‘On the behaviour of marginal and conditional AIC in linear mixed models’ (Biometrika)

Their papers

• Generalized additive models for location, scale and shape for high dimensional data—a flexible approach based on boosting (2012) — 178 citations