Statistical Inference
Statistical Inference is the branch of statistics that uses probabilistic models and observed sample data to draw generalizable conclusions about unknown properties of underlying populations or data-generating mechanisms, thereby enabling estimation, prediction, and hypothesis assessment with quantified uncertainty.
51.3K
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6M
Citations
50.5K
Authors
7.9K
Institutions
Publications per year
2017–2026
7.7K
51.3K
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Yuhai Wu, Vladimir Vapnik · Technometrics · 1999 · 27K citations
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Massachusetts Institute of Technology, United States
93 publications · 13.7K citations
47
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7.9K
Stanford University
Stanford, United States
156 h-index
1.2K publications
253.2K citations
University of California, Berkeley
Berkeley, United States
136 h-index
1.2K publications
153.1K citations
University of Chicago
Chicago, United States
125 h-index
679 publications
143.7K citations
Princeton University
Princeton, United States
121 h-index
660 publications
92.4K citations
Harvard University
Cambridge, United States
120 h-index
804 publications
260.4K citations
University of Michigan
Ann Arbor, United States
111 h-index
789 publications
93.5K citations
University of Washington
Seattle, United States
109 h-index
769 publications
100.3K citations
University College London
London, United Kingdom
106 h-index
584 publications
86K citations
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3.8K publications · 624.6K citations
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1.3K publications · 315K citations
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1.9K publications · 253.9K citations
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1.7K publications · 193.4K citations
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987 publications · 197.1K citations
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