Crime patterns in Delhi: a Bayesian spatio-temporal assessment
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
https://link.springer.com/content/pdf/10.1007/s13198-022-01768-1.pdf
Reference42 articles.
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2. Adin A, Goicoa T, Hodges JS, Schnell PM, Ugarte MD (2021) Alleviating confounding in spatio-temporal areal models with an application on crimes against women in India. Stat Model. https://doi.org/10.1177/1471082X211015452
3. Anselin L (1988) Spatial econometrics: methods and models, vol 4. Springer Science & Business Media, Dordrecht
4. Banerjee SC, Carlin BBP, Gelfand AE (2004) Hierarchical modeling and analysis for spatial data. Chapman and Hall/CRC
5. Bernardinelli L, Clayton D, Pascutto C, Montomoli C, Ghislandi M, Songini M (1995) Bayesian analysis of space—time variation in disease risk. Stat Med 14(21–22):2433–2443
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