Assessing the contagiousness of mass shootings with nonparametric Hawkes processes
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DOI: 10.1371/journal.pone.0248437
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References listed on IDEAS
- Meindl, J.N. & Ivy, J.W., 2017. "Mass shootings: The role of the media in promoting generalized imitation," American Journal of Public Health, American Public Health Association, vol. 107(3), pages 368-370.
- Jetter, Michael & Walker, Jay K., 2018. "The Effect of Media Coverage on Mass Shootings," IZA Discussion Papers 11900, IZA Network @ LISER.
- repec:aph:ajpbhl:10.2105/ajph.2016.303611_2 is not listed on IDEAS
- Robert Alan Clements & Frederic Paik Schoenberg & Alejandro Veen, 2012. "Evaluation of space–time point process models using super‐thinning," Environmetrics, John Wiley & Sons, Ltd., vol. 23(7), pages 606-616, November.
- Sebastian Meyer & Johannes Elias & Michael Höhle, 2012. "A Space–Time Conditional Intensity Model for Invasive Meningococcal Disease Occurrence," Biometrics, The International Biometric Society, vol. 68(2), pages 607-616, June.
- Mohler, G. O. & Short, M. B. & Brantingham, P. J. & Schoenberg, F. P. & Tita, G. E., 2011. "Self-Exciting Point Process Modeling of Crime," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 100-108.
- Felipe Gerhard & Moritz Deger & Wilson Truccolo, 2017. "On the stability and dynamics of stochastic spiking neuron models: Nonlinear Hawkes process and point process GLMs," PLOS Computational Biology, Public Library of Science, vol. 13(2), pages 1-31, February.
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Cited by:
- Lu, Peng & Wen, Feier & Li, Yan & Chen, Dianhan, 2021. "Multi-agent modeling of crowd dynamics under mass shooting cases," Chaos, Solitons & Fractals, Elsevier, vol. 153(P2).
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