Forecasting Spatio-Temporal Variation in Residential Burglary with the Integrated Laplace Approximation Framework: Effects of Crime Generators, Street Networks, and Prior Crimes.

MLA

Mahfoud, Maria, et al. “Forecasting Spatio-Temporal Variation in Residential Burglary with the Integrated Laplace Approximation Framework: Effects of Crime Generators, Street Networks, and Prior Crimes.” Journal of Quantitative Criminology, vol. 37, no. 4, Dec. 2021, pp. 835–62. EBSCOhost, https://doi.org/10.1007/s10940-020-09469-3.

APA

Mahfoud, M., Bernasco, W., Bhulai, S., & van, der M. R. (2021). Forecasting Spatio-Temporal Variation in Residential Burglary with the Integrated Laplace Approximation Framework: Effects of Crime Generators, Street Networks, and Prior Crimes. Journal of Quantitative Criminology, 37(4), 835–862. https://doi.org/10.1007/s10940-020-09469-3

Chicago

Mahfoud, Maria, Wim Bernasco, Sandjai Bhulai, and der Mei, Rob van. 2021. “Forecasting Spatio-Temporal Variation in Residential Burglary with the Integrated Laplace Approximation Framework: Effects of Crime Generators, Street Networks, and Prior Crimes.” Journal of Quantitative Criminology 37 (4): 835–62. doi:10.1007/s10940-020-09469-3.