Sonja Greven

Statistics and Probability · 2008–2017

A researcher in the Science corpus: 7 papers; trusts 55 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 85 citations into it; #3,815 of 12,932 by trust here, #3,411 by citations
• Artificial Intelligence — 31 citations into it; #16,337 of 35,345 by trust here, #20,377 by citations
• Management Science and Operations Research — 13 citations into it; #4,807 of 11,946 by trust here, #5,092 by citations
• Environmental Engineering — 9 citations into it
• Food Science — 8 citations into it
• Analytical Chemistry — 7 citations into it
• Statistical Learning Theory — 7 citations into it
• Cognitive Neuroscience — 5 citations into it

Whom Sonja Greven 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. H. Muller
6. Alan Y. Chiang
7. Jane-ling Wang
8. Matt P. Wand
9. Torsten Hothorn
10. Jian Qing Shi

Who trusts Sonja Greven overall

1. Simon N. Wood
2. Benjamin Saefken
3. C. Hassall
4. Thomas Kneib
5. Xinyu Zhang
6. Fabian Scheipl
7. Herman Aguinis
8. Assaf Rabinowicz
9. Ana-Maria Staicu
10. Ciprian M. Crainiceanu

Papers from Sonja Greven's perspective

Ordered by how strongly the researchers Sonja Greven 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. Spline Models for Observational Data
5. Regression Shrinkage and Selection via the Lasso
6. Functional Data Analysis
7. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
8. Selecting the Number of Knots for Penalized Splines
9. Quantile Regression
10. Nonparametric Regression Analysis of Longitudinal Data

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
• ‘On the behaviour of marginal and conditional AIC in linear mixed models’ (2010) — 222 citations
• Restricted Likelihood Ratio Testing for Zero Variance Components in Linear Mixed Models (2008) — 148 citations
• The functional linear array model (2015) — 55 citations
• A general framework for functional regression modelling (2017) — 129 citations
• Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains (2015) — 389 citations
• A unifying approach to the estimation of the conditional Akaike information in generalized linear mixed models (2014) — 49 citations