Source: Journal of the Royal Statistical Society Series C: Applied Statistics. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Subjects: PRINCÍPIO DE DIRICHLET, GEOESTATÍSTICA, ESTIMULAÇÃO MAGNÉTICA TRANSCRANIANA
ABNT
EGBON, Osafu Augustine et al. Mixtures of Dirichlet processes for joint spatial modelling of transcranial magnetic stimulation mapping data. Journal of the Royal Statistical Society Series C: Applied Statistics, v. 74, p. 1-17, 2025Tradução . . Disponível em: https://doi.org/10.1093/jrsssc/qlae042. Acesso em: 20 abr. 2025.APA
Egbon, O. A., Heumann, C., Nascimento, D. C. do, & Louzada, F. (2025). Mixtures of Dirichlet processes for joint spatial modelling of transcranial magnetic stimulation mapping data. Journal of the Royal Statistical Society Series C: Applied Statistics, 74, 1-17. doi:10.1093/jrsssc/qlae042NLM
Egbon OA, Heumann C, Nascimento DC do, Louzada F. Mixtures of Dirichlet processes for joint spatial modelling of transcranial magnetic stimulation mapping data [Internet]. Journal of the Royal Statistical Society Series C: Applied Statistics. 2025 ; 74 1-17.[citado 2025 abr. 20 ] Available from: https://doi.org/10.1093/jrsssc/qlae042Vancouver
Egbon OA, Heumann C, Nascimento DC do, Louzada F. Mixtures of Dirichlet processes for joint spatial modelling of transcranial magnetic stimulation mapping data [Internet]. Journal of the Royal Statistical Society Series C: Applied Statistics. 2025 ; 74 1-17.[citado 2025 abr. 20 ] Available from: https://doi.org/10.1093/jrsssc/qlae042