2023
DOI: 10.48550/arxiv.2301.01811
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

On using Reproducible Hilbert Spaces for the analysis of Replicated Spatial Point Processes

Abstract: This paper focuses on the use of the theory of Reproducing Kernel Hilbert Spaces in the statistical analysis of replicated point processes. We show that spatial point processes can be observed as random variables in a Reproducing Kernel Hilbert Space and, as a result, methodological and theoretical results for statistical analysis in these spaces can be applied to them. In particular and by way of illustration, we show how we can use the proposed methodology to identify differences between several classes of r… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 27 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?