sppmix: Poisson point process modeling using normal mixture models

Author:

Micheas Athanasios C.,Chen Jiaxun

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Reference64 articles.

1. Baddeley A, Turner R (2005) spatstat: an R package for analyzing spatial point patterns. J Stat Softw 12(6):1–42. http://www.jstatsoft.org/v12/i06/

2. Baddeley A, Rubak E, Turner R (2015) Spatial point patterns: methodology and applications with R. CRC Press, Boca Raton

3. Barndorff-Nielsen OE, Kendall WS, van Lieshout MNM (1999) Stochastic geometry, likelihood and computation. Chapman and Hall, London

4. Benes V, Bodlak K, Møller J, Waagepetersen RP (2005) A case study on point process modelling in disease mapping. Image Anal Stereol 24:159–168

5. Berliner L (1996) Hierarchical Bayesian time-series models. Fund Theor Phys 79:15–22

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