Gerhard E. Tutz

Statistics and Probability · 2006–2021

A researcher in the Science corpus: 9 papers; trusts 82 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 103 citations into it; #5,537 of 12,932 by trust here, #6,310 by citations
• Artificial Intelligence — 54 citations into it; #14,637 of 35,345 by trust here, #10,065 by citations
• Statistical Learning Theory — 26 citations into it
• Optimization & Training — 22 citations into it
• Control and Systems Engineering — 17 citations into it
• Management Science and Operations Research — 14 citations into it; #10,750 of 11,946 by trust here, #11,755 by citations
• Economics and Econometrics — 13 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it

Whom Gerhard E. Tutz trusts overall

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

1. Richard Williams
2. Robert Tibshirani
3. Thomas W. Yee
4. Simon N. Wood
5. D. Piccolo
6. Chong Gu
7. Alan Agresti
8. Ivy Liu
9. Peter McCullagh
10. Paul-Christian Burkner

Who trusts Gerhard E. Tutz overall

1. Jan Gertheiss
2. Yin Lou
3. Jalal Al-Tamimi
4. Ashraf Abdul
5. Xuezhou Zhang
6. E. Buechley
7. Edgar C. Merkle
8. R. Caruana

Papers from Gerhard E. Tutz's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. The Elements of Statistical Learning
3. Estimating the Dimension of a Model
4. Generalized Linear Models
5. Random Forests
6. Generalized Additive Models
7. Model selection and estimation in regression with grouped variables
8. Spline Models for Observational Data
9. Greedy function approximation: A gradient boosting machine.
10. The Nature of Statistical Learning Theory

Their papers

• A comparison of methods for the fitting of generalized additive models (2008) — 51 citations
• An Introduction to Recursive Partitioning: Rationale, Application and Characteristics of Classification and Regression Trees, Bagging and Random Forests (2009) — 2,461 citations
• Penalized Partial Least Squares with Applications to B-Spline Transformations and Functional Data (2006) — 81 citations
• Random forests for functional covariates (2016) — 26 citations
• Ordinal regression: A review and a taxonomy of models (2021) — 109 citations
• Prediction of major international soccer tournaments based on team-specific regularized Poisson regression: An application to the FIFA World Cup 2014 (2015) — 63 citations
• Sparse Modeling of Categorial Explanatory Variables (2011) — 99 citations
• Penalized Regression with Ordinal Predictors (2009) — 77 citations
• Modelling beyond regression functions: an application of multimodal regression to speed–flow data (2006) — 71 citations