Bayesian Geographic Profiling
Bayesian Geographic Profiling is a probabilistic modeling approach within geographic profiling that applies Bayesian inference to integrate prior knowledge and observed data for estimating the most likely locations of offender anchor points.
10
Publications
541
Citations
27
Authors
9
Institutions
Publications per year
2017–2026
0
Parents
10
Adaptations to Climate in Candidate Genes for Common Metabolic Disorders
Angela M. Hancock, David Witonsky, Gidon Eshel et al. · PLoS Genetics · 2008 · 280 citations · Full text
Life Sciences, Biology, Genetics +17
A novel serial crime prediction model based on Bayesian learning theory
Renjie Liao, Xueyao Wang, Lun Li et al. · 2010 · 39 citations
Computing, Criminology, Geography +16
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9

Towson University
Towson, United States
2 h-index
2 publications
54 citations
Greater Manchester Police
Manchester, United Kingdom
1 h-index
1 publications
29 citations

Beihang University
Beijing, China
1 h-index
4 publications
156 citations
Louisiana State University
Baton Rouge, United States
1 h-index
2 publications
72 citations

Carleton University
Ottawa, Canada
1 h-index
1 publications
10 citations

University of Huddersfield
Huddersfield, United Kingdom
1 h-index
1 publications
14 citations
Texas State University
San Marcos, United States
1 h-index
1 publications
38 citations
Queen Mary University of London
London, United Kingdom
1 h-index
4 publications
152 citations
1–8 of 9
4 publications · 119 citations
4
h-index
1 publications · 38 citations
1
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1 publications · 280 citations
1
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1 publications · 41 citations
1
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Repository · 1 publications · 10 citations
1
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