Machine learningNetwork science

Bajesijanska analiza vremenskih mrežâ

Bajesijanska analiza vremenskih mrežâ kombinuje probabilističko Bajesijansko zaključivanje sa relacionim podacima uređenim po vremenu radi modelovanja evolucije struktura mreže, kvantifikovanja neizvesnosti oko procena strukture i donošenja principijelnih predviđanja o budućim obrascima povezanosti. Ona pruža intervale poverenja za verovatnoće veza i dodeljivanja zajednica, umesto golih tačkastih procena.

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Izvori

  1. Hanneke, S., Fu, W., & Xing, E. P. (2010). Discrete temporal models of social networks. Electronic Journal of Statistics, 4, 585–605. DOI: 10.1214/09-EJS548
  2. Peixoto, T. P. (2017). Nonparametric Bayesian inference of the microcanonical stochastic block model. Physical Review E, 95(1), 012317. DOI: 10.1103/PhysRevE.95.012317

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Bayesian Inference for Temporal Network Analysis. ScholarGate. https://scholargate.app/sr/network-analysis/bayesian-temporal-network-analysis

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ScholarGateBayesian Temporal Network Analysis (Bayesian Inference for Temporal Network Analysis). Preuzeto 2026-06-15 sa https://scholargate.app/sr/network-analysis/bayesian-temporal-network-analysis · Skup podataka: https://doi.org/10.5281/zenodo.20539026