Filtros : "semiparametric estimation" Limpar

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  • Source: Book of abstracts. Conference titles: Workshop on Computational Data Analysis and Numerical Methods. Unidade: IME

    Subjects: ESTIMAÇÃO SEMIPARAMÉTRICA, MÉTODOS MCMC

    Versão PublicadaAcesso à fonteHow to cite
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    • ABNT

      GOMES, M. Ivette et al. Mean-of-order-p value-at-risk estimation: a Monte-Carlo comparison. 2018, Anais.. Felgueiras: Instituto Politécnico do Porto, 2018. Disponível em: http://www.wcdanm-ipporto18.uevora.pt/wp-content/uploads/2018/05/Book_of_Abstracts.pdf. Acesso em: 28 jan. 2026.
    • APA

      Gomes, M. I., Caeiro, F., Figueiredo, F., Henriques-Rodrigues, L., & Pestana, D. (2018). Mean-of-order-p value-at-risk estimation: a Monte-Carlo comparison. In Book of abstracts. Felgueiras: Instituto Politécnico do Porto. Recuperado de http://www.wcdanm-ipporto18.uevora.pt/wp-content/uploads/2018/05/Book_of_Abstracts.pdf
    • NLM

      Gomes MI, Caeiro F, Figueiredo F, Henriques-Rodrigues L, Pestana D. Mean-of-order-p value-at-risk estimation: a Monte-Carlo comparison [Internet]. Book of abstracts. 2018 ;[citado 2026 jan. 28 ] Available from: http://www.wcdanm-ipporto18.uevora.pt/wp-content/uploads/2018/05/Book_of_Abstracts.pdf
    • Vancouver

      Gomes MI, Caeiro F, Figueiredo F, Henriques-Rodrigues L, Pestana D. Mean-of-order-p value-at-risk estimation: a Monte-Carlo comparison [Internet]. Book of abstracts. 2018 ;[citado 2026 jan. 28 ] Available from: http://www.wcdanm-ipporto18.uevora.pt/wp-content/uploads/2018/05/Book_of_Abstracts.pdf
  • Source: Journal of Statistical Theory and Practice. Unidade: IME

    Subjects: INFERÊNCIA NÃO PARAMÉTRICA, TEORIA ASSINTÓTICA, MÉTODOS MCMC

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      HENRIQUES-RODRIGUES, Lígia e GOMES, M. Ivette. Location-invariant reduced-bias tail index estimation under a third-order framework. Journal of Statistical Theory and Practice, v. 12, n. 2, p. 206-230, 2018Tradução . . Disponível em: https://doi.org/10.1080/15598608.2017.1342577. Acesso em: 28 jan. 2026.
    • APA

      Henriques-Rodrigues, L., & Gomes, M. I. (2018). Location-invariant reduced-bias tail index estimation under a third-order framework. Journal of Statistical Theory and Practice, 12( 2), 206-230. doi:10.1080/15598608.2017.1342577
    • NLM

      Henriques-Rodrigues L, Gomes MI. Location-invariant reduced-bias tail index estimation under a third-order framework [Internet]. Journal of Statistical Theory and Practice. 2018 ; 12( 2): 206-230.[citado 2026 jan. 28 ] Available from: https://doi.org/10.1080/15598608.2017.1342577
    • Vancouver

      Henriques-Rodrigues L, Gomes MI. Location-invariant reduced-bias tail index estimation under a third-order framework [Internet]. Journal of Statistical Theory and Practice. 2018 ; 12( 2): 206-230.[citado 2026 jan. 28 ] Available from: https://doi.org/10.1080/15598608.2017.1342577
  • Source: Extreme events in finance: a handbook of extreme value theory and its applications. Unidade: IME

    Subjects: INFERÊNCIA PARAMÉTRICA, ESTATÍSTICA

    Acesso à fonteDOIHow to cite
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    • ABNT

      GOMES, M. Ivette et al. Bootstrap methods in statistics of extremes. Extreme events in finance: a handbook of extreme value theory and its applications. Tradução . Hoboken: Wiley, 2016. . Disponível em: https://doi.org/10.1002/9781118650318.ch6. Acesso em: 28 jan. 2026.
    • APA

      Gomes, M. I., Caeiro, F., Henriques-Rodrigues, L., & Manjunat, B. G. (2016). Bootstrap methods in statistics of extremes. In Extreme events in finance: a handbook of extreme value theory and its applications. Hoboken: Wiley. doi:10.1002/9781118650318.ch6
    • NLM

      Gomes MI, Caeiro F, Henriques-Rodrigues L, Manjunat BG. Bootstrap methods in statistics of extremes [Internet]. In: Extreme events in finance: a handbook of extreme value theory and its applications. Hoboken: Wiley; 2016. [citado 2026 jan. 28 ] Available from: https://doi.org/10.1002/9781118650318.ch6
    • Vancouver

      Gomes MI, Caeiro F, Henriques-Rodrigues L, Manjunat BG. Bootstrap methods in statistics of extremes [Internet]. In: Extreme events in finance: a handbook of extreme value theory and its applications. Hoboken: Wiley; 2016. [citado 2026 jan. 28 ] Available from: https://doi.org/10.1002/9781118650318.ch6

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