On parameter estimation for doubly inhomogeneous cluster point processes-Reference-Cited by-同舟云学术

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On parameter estimation for doubly inhomogeneous cluster point processes

Published:2017-05 Issue: Volume:20 Page:191-205
ISSN:2211-6753
Container-title:Spatial Statistics
language:en
Short-container-title:Spatial Statistics

Author:

Mrkvička Tomáš,Soubeyrand Samuel

Funder

INRA

Grant Agency of Czech Republic

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Statistics and Probability

Reference31 articles.

1. Skew-normality for climatic data and dispersal models for plant epidemiology: when application fields drive spatial statistics;Allard;Spat. Stat.,2012

2. Clusters of firms in an inhomogeneous space: The high-tech industries in Milan;Arbia;Econ. Modell.,2012

3. Using genetic markers to estimate the pollen dispersal curve;Austerlitz;Mol. Ecol.,2004

4. Non- and semi-parametric estimation of interaction in inhomogeneous point patterns;Baddeley;Stat. Neerl.,2000

5. Spatio-temporal modelling of weeds by shot-noise G Cox processes;Brix;Biom. J.,2002

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An interaction Neyman–Scott point process model for coronavirus disease-19;Spatial Statistics;2022-03

2. Inference for cluster point processes with over- or under-dispersed cluster sizes;Statistics and Computing;2020-07-14

3. Quick inference for log Gaussian Cox processes with non-stationary underlying random fields;Spatial Statistics;2019-10

4. A concentration inequality for inhomogeneous Neyman–Scott point processes;Statistics & Probability Letters;2019-05

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