Statistical Science

Comment on “A Review of Self-Exciting Spatio-Temporal Point Process and Their Applications” by Alex Reinhart

Jiancang Zhuang

Full-text: Open access

Article information

Source
Statist. Sci., Volume 33, Number 3 (2018), 323-324.

Dates
First available in Project Euclid: 13 August 2018

Permanent link to this document
https://projecteuclid.org/euclid.ss/1534147223

Digital Object Identifier
doi:10.1214/18-STS651

Mathematical Reviews number (MathSciNet)
MR3843376

Zentralblatt MATH identifier
06991120

Citation

Zhuang, Jiancang. Comment on “A Review of Self-Exciting Spatio-Temporal Point Process and Their Applications” by Alex Reinhart. Statist. Sci. 33 (2018), no. 3, 323--324. doi:10.1214/18-STS651. https://projecteuclid.org/euclid.ss/1534147223


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References

  • Guo, Y., Zhuang, J. and Zhou, S. (2015). An improved space–time ETAS model for inverting the rupture geometry from seismicity triggering. J. Geophys. Res. 120 3309–3323.
  • Guo, Y., Zhuang, J., Hirata, N. and Zhou, S. (2017). Heterogeneity of direct aftershock productivity of the main shock rupture. J. Geophys. Res. 122 5288–5305.
  • Zhuang, J. (2006). Second-order residual analysis of spatiotemporal point processes and applications in model evaluation. J. R. Stat. Soc. Ser. B. Stat. Methodol. 68 635–653.
  • Zhuang, J. and Mateu, J. (2018). A semi-parametric spatiotemporal Hawkes-type point process model with periodic background for crime data. Submitted.
  • Zhuang, J., Ogata, Y. and Vere-Jones, D. (2004). Analyzing earthquake clustering features by using stochastic reconstruction. J. Geophys. Res. 109 B05301.

See also

  • Main article: A Review of Self-Exciting Spatio-Temporal Point Processes and Their Applications.