Statistical Fraud Detection
Statistical Fraud Detection is a fraud detection method that employs statistical models and quantitative techniques to identify anomalous patterns and deviations from expected behavior in claims data, distinguishing it from rule-based or heuristic approaches by its reliance on probabilistic inference and data-driven hypothesis testing.
62
Publications
3.8K
Citations
167
Authors
90
Institutions
Publications per year
2017–2026
21
62
A Statistical Derivation of the Significant-Digit Law
Theodore P. Hill · Statistical Science · 1995 · 680 citations · Full text
A survey on statistical methods for health care fraud detection
Jing Li, Kuei-Ying Huang, Jionghua Jin et al. · Health Care Management Science · 2008 · 169 citations
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90
University of Siena
Siena, Italy
4 h-index
4 publications
138 citations

University of Parma
Parma, Italy
4 h-index
5 publications
200 citations
Joint Research Centre
Ispra, Italy
4 h-index
7 publications
265 citations
Istituto di Matematica Applicata e Tecnologie Informatiche
Pavia, Italy
2 h-index
2 publications
59 citations
Politecnico di Milano
Milan, Italy
2 h-index
2 publications
59 citations
George Washington University
Washington, United States
2 h-index
2 publications
59 citations
Texas State University
San Marcos, United States
2 h-index
2 publications
59 citations
Oklahoma State University Center for Health Sciences
Tulsa, United States
1 h-index
4 publications
92 citations
1–8 of 90
Repository · 3 publications · 167 citations
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PNAS · 2 publications · 209 citations
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2 publications · 36 citations
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GER · 2 publications · 191 citations
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2 publications · 25 citations
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