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Hierarchical Spatio-Temporal Change-Point Detection

  • Published:2023-04-11 Issue:4 Volume:77 Page:390-400
  • ISSN:0003-1305
  • Container-title:The American Statistician
  • language:en
  • Short-container-title:The American Statistician

Author:

Moradi Mehdi1ORCID,Cronie Ottmar2ORCID,Pérez-Goya Unai3,Mateu Jorge4

Affiliation:

1. Department of Mathematics and Mathematical Statistics, Umeå University, Umeå, Sweden

2. Department of Mathematical Sciences, Chalmers University of Technology & University of Gothenburg, Gothenburg, Sweden

3. Department of Statistics, Computer Science, and Mathematics, Public University of Navarre, Pamplona, Spain

4. Department of Mathematics, University Jaume I, Castellón, Spain

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Reference27 articles.

Cited by 5 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. Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks;Journal of Agricultural, Biological and Environmental Statistics;2024-03-26

2. Point process modeling through a mixture of homogeneous and self‐exciting processes;Statistica Neerlandica;2024-01-15

3. Jorge Mateu's contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’;Journal of the Royal Statistical Society Series B: Statistical Methodology;2023-12-21

4. Elastic functional changepoint detection of climate impacts from localized sources;Environmetrics;2023-10-24

5. A Novel Change Point Detection Method for Data Cubes of Satellite Image Time Series;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16
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