22 citations as recorded by crossref.

1. New measures of clumpiness for incidence data Y. Zhang et al. https://doi.org/10.1080/02664763.2013.818627
2. Design-based mapping for finite populations of marked points L. Fattorini et al. https://doi.org/10.1214/19-EJS1572
3. Spatio-Temporal Wildfire Prediction Using Multi-Modal Data C. Xu et al. https://doi.org/10.1109/JSAIT.2023.3276054
4. Clustering features and seismogenesis of the 2014 M6.6 Jinggu earthquake in Yunnan Province, China J. Zheng https://doi.org/10.3389/feart.2023.1177821
5. A copula model for marked point processes L. Diao et al. https://doi.org/10.1007/s10985-013-9259-3
6. Stochastic geometrical modeling for built-up area understanding from a single SAR intensity image with meter resolution M. Quartulli & M. Datcu https://doi.org/10.1109/TGRS.2004.833391
7. Gradient angle-based analysis for spatiotemporal point processes T. Zhang & Y. Huang https://doi.org/10.1214/17-EJS1368
8. Earthquake Modelling at the Country Level Using Aggregated Spatio-Temporal Point Processes M. van Lieshout & A. Stein https://doi.org/10.1007/s11004-011-9380-3
9. Evaluating of the earthquake hazard parameters with Bayesian method for the different seismic source regions of the North Anatolian Fault Zone Y. Bayrak & T. Türker https://doi.org/10.1007/s11069-016-2569-5
10. A functional marked point process model for lupus data C. Fok et al. https://doi.org/10.1002/cjs.11136
11. A spatial statistical analysis of the occurrence of earthquakes along the Red Sea floor spreading: clusters of seismicity K. Al-Ahmadi et al. https://doi.org/10.1007/s12517-013-0974-6
12. Kocaeli İli ve Çevresinde (1900-2016) Yılları Arasında Gerçekleşen Tarihsel Depremlerin Konumsal İstatistik Analizi Ö. AKYÜREK & O. ARSLAN https://doi.org/10.29128/geomatik.333104
13. Assessing Hail Risk for Property Insurers with a Dependent Marked Point Process P. Shi et al. https://doi.org/10.1111/rssa.12754
14. Application of the Multitype Strauss Point Model for Characterizing the Spatial Distribution of Landslides I. Das & A. Stein https://doi.org/10.1155/2016/1612901
15. Generalized Additive Poisson Models for Quantifying Geological Factors Effect on The Earthquake Risk Mapping T. Mukhti et al. https://doi.org/10.1088/1742-6596/1863/1/012030
16. On the local odds ratio between points and marks in marked point processes T. Zhang & Q. Zhuang https://doi.org/10.1016/j.spasta.2013.12.002
17. On Computing Medians of Marked Point Process Data Under Edit Distance N. Sukegawa et al. https://doi.org/10.1007/s10957-023-02352-8
18. Statistical models in seismology: Lesser Antilles arc case L. Valmy & J. Vaillant https://doi.org/10.2113/gssgfbull.184.1-2.61
19. A Marked Point Process for Modeling Lidar Waveforms C. Mallet et al. https://doi.org/10.1109/TIP.2010.2052825
20. A Kolmogorov-Smirnov type test for independence between marks and points of marked point processes T. Zhang https://doi.org/10.1214/14-EJS961
21. Segmentation algorithm for non-stationary compound Poisson processes B. Tóth et al. https://doi.org/10.1140/epjb/e2010-10046-8
22. Analysis of Tectonic Earthquake Characteristics in The Province of Nusa Tenggara Barat Indonesia and Its Surroundings H. Wattimanela & S. Latupeirissa https://doi.org/10.1088/1742-6596/1463/1/012002