A model selection approach for multiple sequence segmentation and dimensionality reduction (2018)
Castro, Bruno M.; Lemes, Renan Barbosa; César, Jônatas Eduardo da Silva; Hünemeier, Tábita 
; Leonardi, Florencia Graciela
Fonte: Journal of Multivariate Analysis. Unidades: IB, IME
Assunto: INFERÊNCIA NÃO PARAMÉTRICA
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ABNT
CASTRO, Bruno M. et al. A model selection approach for multiple sequence segmentation and dimensionality reduction. Journal of Multivariate Analysis, v. 167, p. 319-330, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.jmva.2018.05.006. Acesso em: 18 nov. 2025.APA
Castro, B. M., Lemes, R. B., César, J. E. da S., Hünemeier, T., & Leonardi, F. G. (2018). A model selection approach for multiple sequence segmentation and dimensionality reduction. Journal of Multivariate Analysis, 167, 319-330. doi:10.1016/j.jmva.2018.05.006NLM
Castro BM, Lemes RB, César JE da S, Hünemeier T, Leonardi FG. A model selection approach for multiple sequence segmentation and dimensionality reduction [Internet]. Journal of Multivariate Analysis. 2018 ; 167 319-330.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1016/j.jmva.2018.05.006Vancouver
Castro BM, Lemes RB, César JE da S, Hünemeier T, Leonardi FG. A model selection approach for multiple sequence segmentation and dimensionality reduction [Internet]. Journal of Multivariate Analysis. 2018 ; 167 319-330.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1016/j.jmva.2018.05.006
