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Stochastic Process
Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes
Nicoletta D’Angeloa Department of Business, Economics and Statistics, University of Palermo, Palermo, Italyhttps://orcid.org/0000-0002-8878-5986View further author information
, Giada Adelfioa Department of Business, Economics and Statistics, University of Palermo, Palermo, ItalyView further author information
, Jorge Mateub Department of Mathematics, University Jaume I, Castellòn, SpainView further author information
& Ottmar Croniec Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, SwedenCorrespondence[email protected]
https://orcid.org/0000-0002-6721-8608View further author information
https://orcid.org/0000-0002-6721-8608View further author information
Pages 588-602
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Received 04 Jul 2022, Accepted 19 Apr 2023, Published online: 21 Jun 2023
Related Research Data
Local inhomogeneous weighted summary statistics for marked point processes
Source:
Taylor & Francis
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