Fabian Scheipl

Statistics and Probability · 2008–2017

A researcher in the Science corpus: 4 papers; trusts 35 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 64 citations into it; #5,308 of 12,932 by trust here, #4,964 by citations
• Artificial Intelligence — 18 citations into it; #15,362 of 35,345 by trust here, #20,836 by citations
• Management Science and Operations Research — 8 citations into it; #4,434 of 11,946 by trust here, #5,092 by citations
• Environmental Engineering — 7 citations into it
• Statistical Learning Theory — 6 citations into it
• Analytical Chemistry — 5 citations into it

Whom Fabian Scheipl trusts overall

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

1. Simon N. Wood
2. Ciprian M. Crainiceanu
3. David Ruppert
4. Fang Yao
5. Torsten Hothorn
6. Alan Y. Chiang
7. Nicolai Meinshausen
8. Peter Buhlmann
9. H. Muller
10. Jane-ling Wang

Who trusts Fabian Scheipl overall

1. Simon N. Wood
2. Sonja Greven
3. C. Hassall
4. Herman Aguinis
5. Ana-Maria Staicu
6. Ciprian M. Crainiceanu
7. R. Gottfredson
8. Yingxing Li

Papers from Fabian Scheipl's perspective

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

1. Generalized Linear Models
2. Generalized Additive Models: An Introduction With R
3. A Practical Guide to Splines
4. Functional Data Analysis
5. Spline Models for Observational Data
6. PENALIZED STRUCTURED ADDITIVE REGRESSION FOR SPACE-TIME DATA: A BAYESIAN PERSPECTIVE
7. Quantile Regression
8. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
9. Greedy function approximation: A gradient boosting machine.
10. Regression Shrinkage and Selection via the Lasso

Their papers

• Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed models (2008) — 314 citations
• The functional linear array model (2015) — 55 citations
• A general framework for functional regression modelling (2017) — 129 citations
• refund: Regression with Functional Data (2013) — 242 citations