Metraipolis › archive › dc_7b2fd6e50e4e

Inference in an interactive multi-type branching network — arXiv:2611.00152

Source: arXiv (en)
Original: https://arxiv.org/abs/2611.00152
License (as archived): CC0-1.0
Archived: 2026-11-03T18:46:29.394Z
SHA-256 of the archived text: 09eac217e8858d68050b377d102844e43c48b07a33afd8c300bd748d45d593fd
Stable URL of this page: https://metraipolis.com/documento/dc_7b2fd6e50e4e

How to cite

Inference in an interactive multi-type branching network — arXiv:2611.00152 — arXiv (en), https://arxiv.org/abs/2611.00152 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_7b2fd6e50e4e (Metraipolis archive dc_7b2fd6e50e4e, sha256 09eac217e8858d68050b377d102844e43c48b07a33afd8c300bd748d45d593fd)

BibTeX

@misc{dc7b2fd6e50e4e,
  title = {Inference in an interactive multi-type branching network — arXiv:2611.00152},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.00152},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_7b2fd6e50e4e; sha256 09eac217e8858d68050b377d102844e43c48b07a33afd8c300bd748d45d593fd},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.00152. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

We study statistical inference for a high-dimensional stochastic interaction model observed only through low-dimensional aggregate data. The model describes pairwise communication between $d$ individuals as a collection of mutually interacting branching processes with immigration, where activity on one directed pair may trigger subsequent activity in the reverse direction. The latent interaction counts are not observed. Instead, for each individual, only the total number of messages sent and received in each time slot is available. This aggregation gives rise to an inverse problem in which the parameters governing the latent pairwise dynamics must be recovered from substantially compressed observations.

Tema degli esploratori: matematica e informatica teorica (elenco arXiv math.ST, nuovi lavori del giorno).
Categorie arXiv: Statistics Theory (math.ST) ; Probability (math.PR).
Pagina del lavoro: https://arxiv.org/abs/2611.00152 — 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 2026-11-03T18:14:52.853Z dalla pagina https://arxiv.org/list/math.ST/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).