Graphical Inference
Graphical Inference is a statistical methodology that belongs to the class of inference techniques, differing in that it specifically involves the use of graphical representations of data to assess the significance of patterns through comparison with null distributions generated via visual decoys or simulated data.
272
Publications
31.2K
Citations
540
Authors
290
Institutions
Publications per year
2017–2026
57
Parents
272
Graphical Methods for Data Analysis.
M. J. R. Healy, John M. Chambers, William S. Cleveland et al. · Journal of the Royal Statistical Society Series A (General) · 1984 · 2.3K citations
Graphical Methods for Data Analysis.
N. I. Fisher, John M. Chambers, William S. Cleveland et al. · Biometrics · 1984 · 2K citations
GenABEL: an R library for genome-wide association analysis
Yurii S. Aulchenko, Stephan Ripke, Aaron Isaacs et al. · Bioinformatics · 2007 · 2K citations
Graphical Models in Applied Multivariate Statistics
Colin Goodall, Joe Whittaker · Technometrics · 1991 · 1.8K citations
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290
University of Washington
Seattle, United States
11 h-index
16 publications
2.2K citations
University of Chicago
Chicago, United States
6 h-index
7 publications
1.8K citations
ETH Zurich
Zurich, Switzerland
5 h-index
15 publications
2.6K citations
Yale University
New Haven, United States
5 h-index
5 publications
208 citations
Stanford University
Stanford, United States
5 h-index
6 publications
488 citations

University of British Columbia
Vancouver, Canada
4 h-index
6 publications
751 citations
Aalborg University
Aalborg, Denmark
4 h-index
4 publications
846 citations
Iowa State University
Ames, United States
4 h-index
7 publications
645 citations
1–8 of 290
Repository · 25 publications · 2.1K citations
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10 publications · 1.2K citations
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7 publications · 2.8K citations
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5 publications · 198 citations
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JSS · 5 publications · 845 citations
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