Bayesian influence diagnostics using normalized functional Bregman divergence (2022)
Danilevicz, Ian Meneghel 
; Ehlers, Ricardo Sandes
Source: Communications in Statistics : Theory and Methods. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, CADEIAS DE MARKOV, MÉTODO DE MONTE CARLO
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ABNT
DANILEVICZ, Ian Meneghel e EHLERS, Ricardo Sandes. Bayesian influence diagnostics using normalized functional Bregman divergence. Communications in Statistics : Theory and Methods, v. 51, n. 6, p. 1637–1652, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610926.2020.1764583. Acesso em: 28 jan. 2026.APA
Danilevicz, I. M., & Ehlers, R. S. (2022). Bayesian influence diagnostics using normalized functional Bregman divergence. Communications in Statistics : Theory and Methods, 51( 6), 1637–1652. doi:10.1080/03610926.2020.1764583NLM
Danilevicz IM, Ehlers RS. Bayesian influence diagnostics using normalized functional Bregman divergence [Internet]. Communications in Statistics : Theory and Methods. 2022 ; 51( 6): 1637–1652.[citado 2026 jan. 28 ] Available from: https://doi.org/10.1080/03610926.2020.1764583Vancouver
Danilevicz IM, Ehlers RS. Bayesian influence diagnostics using normalized functional Bregman divergence [Internet]. Communications in Statistics : Theory and Methods. 2022 ; 51( 6): 1637–1652.[citado 2026 jan. 28 ] Available from: https://doi.org/10.1080/03610926.2020.1764583
