Hierarchical Bayesian modeling of spatio-temporal area-interaction processes
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DOI: 10.1016/j.csda.2021.107349
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- Nicolas Picard & Avner Bar‐Hen & Frédéric Mortier & Joël Chadœuf, 2009. "The Multi‐scale Marked Area‐interaction Point Process: A Model for the Spatial Pattern of Trees," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 36(1), pages 23-41, March.
- Frédéric Lavancier & Jesper Møller, 2016. "Modelling Aggregation on the Large Scale and Regularity on the Small Scale in Spatial Point Pattern Datasets," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(2), pages 587-609, June.
- Vinayak Rao & Ryan P. Adams & David D. Dunson, 2017. "Bayesian inference for Matérn repulsive processes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(3), pages 877-897, June.
- Jaewoo Park & Murali Haran, 2018. "Bayesian Inference in the Presence of Intractable Normalizing Functions," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1372-1390, July.
- Athanasios C. Micheas, 2019. "Cox Point Processes: Why One Realisation Is Not Enough," International Statistical Review, International Statistical Institute, vol. 87(2), pages 306-325, August.
- A. Baddeley & M. Lieshout, 1995. "Area-interaction point processes," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 47(4), pages 601-619, December.
- Sigrunn H. S⊘rbye & Janine B. Illian & Daniel P. Simpson & David Burslem & Håvard Rue, 2019. "Careful prior specification avoids incautious inference for log‐Gaussian Cox point processes," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 68(3), pages 543-564, April.
- Anders Brix & Peter J. Diggle, 2001. "Spatiotemporal prediction for log‐Gaussian Cox processes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(4), pages 823-841.
- J. Møller & A. N. Pettitt & R. Reeves & K. K. Berthelsen, 2006. "An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants," Biometrika, Biometrika Trust, vol. 93(2), pages 451-458, June.
- Zhengyi Zhou & David S. Matteson & Dawn B. Woodard & Shane G. Henderson & Athanasios C. Micheas, 2015. "A Spatio-Temporal Point Process Model for Ambulance Demand," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(509), pages 6-15, March.
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Keywords
Autoregressive prior; Bayesian analysis; Double Metropolis-Hastings within Gibbs sampler; Hierarchical model; Spatio-temporal area-interaction process;All these keywords.
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