Multi-objective approach for multiple clusters detection in data points events-Reference-Cited by-同舟云学术

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Multi-objective approach for multiple clusters detection in data points events

Published:2019-09-18 Issue: Volume: Page:1-20
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Bodevan Emerson C.¹,Duczmal Luiz H.²,Duarte Anderson R.³,Silva Pedro H. L.⁴,Moreira Gladston J. P.⁴^ORCID

Affiliation:

1. Department of Mathematics and Statistics, Federal University of Vales Jequitinhonha and Mucuri, Diamantina, Brazil;

2. Statistics Department, Federal University of Minas Gerais, Belo Horizonte, Brazil;

3. Statistics Department, Federal University of Ouro Preto, Ouro Preto, Brazil;

4. Computing Department, Federal University of Ouro Preto, Ouro Preto, Brazil

Publisher

Informa UK Limited

Subject

Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2019.1667392

Reference32 articles.

1. Gumbel based p-value approximations for spatial scan statistics

2. Data-driven inference for the spatial scan statistic

3. Fast detection of arbitrarily shaped disease clusters

4. Penalized likelihood and multi-objective spatial scans for the detection and inference of irregular clusters

5. Arbitrarily shaped multiple spatial cluster detection for case event data

Cited by 1 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. Space-time border analysis to evaluate and detect clusters;Communications in Statistics - Simulation and Computation;2021-04-27

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