Scott Vrieze
Genetics · 2012–2019
A researcher in the Science corpus: 5 papers; trusts 23 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 95 citations into it
- Molecular Biology — 68 citations into it
- Statistics and Probability — 23 citations into it; #3,461 of 12,932 by trust here, #8,279 by citations
- Artificial Intelligence — 14 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Scott Vrieze trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yuhong Yang
- Hirotugu Akaike
- P. Deb
- K. Burnham
- Robert E. Kass
- Thomas M. Cover
- James M. Henson
- David R. Anderson
- Adrian E. Raftery
- B. Muthén
Who trusts Scott Vrieze overall
- Tal Yarkoni
- P. Sinha
- Marissa Hofstee
- J. Westfall
- C. Calfee
- Joyce Endendijk
- Kevin Delucchi
- Joachim Vandekerckhove
- Jorg Huijding
Papers from Scott Vrieze's perspective
Ordered by how strongly the researchers Scott Vrieze trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating the Dimension of a Model
- A new look at the statistical model identification
- Bayes factors
- Understanding AIC and BIC in Model Selection
- Model selection and multimodel inference : a practical information-theoretic approach
- On the Mathematical Foundations of Theoretical Statistics
- PREDICTION/ESTIMATION WITH SIMPLE LINEAR MODELS: IS IT REALLY THAT SIMPLE? (Econometric Theory)
- Can the Strengths of AIC and BIC Be Shared
- Investigating population heterogeneity with factor mixture models. (Psychological methods)
- Methods and Criteria for Model Selection
Their papers
- Next-generation genotype imputation service and methods (2016) — 3,622 citations
- Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program (2019) — 1,941 citations
- Model selection and psychological theory: A discussion of the differences between the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC) (2012) — 1,786 citations
- Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use (2019) — 1,654 citations
- Behavioral Impact of Return of Genetic Test Results for Complex Disease: Systematic Review and Meta-analysis (2018) — 56 citations