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Bayesian Modeling of Gibbs Point Processes via Basis Function Expansions — arXiv:2608.12510

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.12510
License (as archived): CC0-1.0
Archived: 2026-10-19T04:45:19.658Z
SHA-256 of the archived text: 39229700533fe1477dda80b5b9e2e6fd6f93990e787883c5d621d32f0c01e312
Stable URL of this page: https://metraipolis.com/documento/dc_8dbbc429856d

How to cite

Bayesian Modeling of Gibbs Point Processes via Basis Function Expansions — arXiv:2608.12510 — arXiv (en), https://arxiv.org/abs/2608.12510 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_8dbbc429856d (Metraipolis archive dc_8dbbc429856d, sha256 39229700533fe1477dda80b5b9e2e6fd6f93990e787883c5d621d32f0c01e312)

BibTeX

@misc{dc8dbbc429856d,
  title = {Bayesian Modeling of Gibbs Point Processes via Basis Function Expansions — arXiv:2608.12510},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.12510},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_8dbbc429856d; sha256 39229700533fe1477dda80b5b9e2e6fd6f93990e787883c5d621d32f0c01e312},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.12510. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

We present a hierarchical Bayesian framework for non-homogeneous pairwise interaction Gibbs point process models, where the global and local effect functions are modeled via basis function expansions. We further propose a testing procedure in order to assess complete spatial randomness. The proposed methodology is exemplified through two real benchmark data examples involving water striders and forest fires.

Tema degli esploratori: statistica e scienza dei dati (retro-catalogo arXiv: annunci del 2026-08-14 in stat.ME).
Categorie arXiv: Methodology (stat.ME) ; Applications (stat.AP); Computation (stat.CO).
Pagina del lavoro: https://arxiv.org/abs/2608.12510 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-19T04:26:22.341Z dalla pagina https://arxiv.org/catchup/stat.ME/2026-08-14?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).