Improving crime count forecasts in the city of Rio de Janeiro via reconciliation

Author:

Nascimento Marcus L.ORCID,Barreto Leonardo M.

Publisher

Springer Science and Business Media LLC

Reference55 articles.

1. Aldor-Noiman, Sivan, Lawrence D. Brown, Emily B. Fox, and Robert A. Stine. 2016. Spatio-temporal low count processes with application to violent crime events. Statistica Sinica 26 (4): 1587–1610.

2. Alsadik, Bashar. 2019. Kalman filter. In Adjustment models in 3D geomatics and computational geophysics, vol. 4 of computational geophysics, ed. Bashar Alsadik, 299–326. Amsterdam: Elsevier.

3. Athanasopoulos, George, Rob J. Hyndman, Nikolaos Kourentzes, and Fotios Petropoulos. 2017. Forecasting with temporal hierarchies. European Journal of Operational Research 262 (1): 60–74.

4. Berk, Richard. 2008. Forecasting methods in crime and justice. Annual Review of Law and Social Science 4: 219–238.

5. Brantingham, Paul Jeffrey. 2016. Crime diversity. Criminology 54 (4): 553–586.

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