Bayesian analysis of heavy-tailed Heckman selection models using Hamiltonian Monte Carlo (2026)
Source: Computational Statistics. Unidade: Interinstitucional de Pós-Graduação em Estatística
Subjects: INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO
ABNT
LIM, Heeju e LACHOS, Victor Eduardo e LACHOS, Victor Hugo. Bayesian analysis of heavy-tailed Heckman selection models using Hamiltonian Monte Carlo. Computational Statistics, v. 41, n. 2, p. 1-34, 2026Tradução . . Disponível em: https://doi.org/10.1007/s00180-026-01717-7. Acesso em: 13 abr. 2026.APA
Lim, H., Lachos, V. E., & Lachos, V. H. (2026). Bayesian analysis of heavy-tailed Heckman selection models using Hamiltonian Monte Carlo. Computational Statistics, 41( 2), 1-34. doi:10.1007/s00180-026-01717-7NLM
Lim H, Lachos VE, Lachos VH. Bayesian analysis of heavy-tailed Heckman selection models using Hamiltonian Monte Carlo [Internet]. Computational Statistics. 2026 ; 41( 2): 1-34.[citado 2026 abr. 13 ] Available from: https://doi.org/10.1007/s00180-026-01717-7Vancouver
Lim H, Lachos VE, Lachos VH. Bayesian analysis of heavy-tailed Heckman selection models using Hamiltonian Monte Carlo [Internet]. Computational Statistics. 2026 ; 41( 2): 1-34.[citado 2026 abr. 13 ] Available from: https://doi.org/10.1007/s00180-026-01717-7
