Filters : "ICMC" "Brazilian Journal of Probability and Statistics" Limpar

Filters



Refine with date range


  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, ANÁLISE DE SOBREVIVÊNCIA

    Versão AceitaOnline source accessDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      MORITA, Lia Hanna Martins et al. The random deterioration rate model with measurement error based on the inverse Gaussian distribution. Brazilian Journal of Probability and Statistics, v. 35, n. 1, p. 187-204, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS468. Acesso em: 07 out. 2022.
    • APA

      Morita, L. H. M., Tomazella, V. L. D., Ramos, P. L., Ferreira, P. H., & Louzada Neto, F. (2021). The random deterioration rate model with measurement error based on the inverse Gaussian distribution. Brazilian Journal of Probability and Statistics, 35( 1), 187-204. doi:10.1214/20-BJPS468
    • NLM

      Morita LHM, Tomazella VLD, Ramos PL, Ferreira PH, Louzada Neto F. The random deterioration rate model with measurement error based on the inverse Gaussian distribution [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 187-204.[citado 2022 out. 07 ] Available from: https://doi.org/10.1214/20-BJPS468
    • Vancouver

      Morita LHM, Tomazella VLD, Ramos PL, Ferreira PH, Louzada Neto F. The random deterioration rate model with measurement error based on the inverse Gaussian distribution [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 187-204.[citado 2022 out. 07 ] Available from: https://doi.org/10.1214/20-BJPS468
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, AMOSTRAGEM, MÉTODO DE MONTE CARLO

    Online source accessDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      SARAIVA, Erlandson Ferreira e SUZUKI, Adriano Kamimura e MILAN, Luis Aparecido. A Bayesian sparse finite mixture model for clustering data from a heterogeneous population. Brazilian Journal of Probability and Statistics, v. 34, n. 2, p. 323-344, 2020Tradução . . Disponível em: https://doi.org/10.1214/18-BJPS425. Acesso em: 07 out. 2022.
    • APA

      Saraiva, E. F., Suzuki, A. K., & Milan, L. A. (2020). A Bayesian sparse finite mixture model for clustering data from a heterogeneous population. Brazilian Journal of Probability and Statistics, 34( 2), 323-344. doi:10.1214/18-BJPS425
    • NLM

      Saraiva EF, Suzuki AK, Milan LA. A Bayesian sparse finite mixture model for clustering data from a heterogeneous population [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 2): 323-344.[citado 2022 out. 07 ] Available from: https://doi.org/10.1214/18-BJPS425
    • Vancouver

      Saraiva EF, Suzuki AK, Milan LA. A Bayesian sparse finite mixture model for clustering data from a heterogeneous population [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 2): 323-344.[citado 2022 out. 07 ] Available from: https://doi.org/10.1214/18-BJPS425
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

    Online source accessDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      NOGAROTTO, Danilo Covaes e AZEVEDO, Caio Lucidius Naberezny e GUZMÁN, Jorge Luis Bazán. Bayesian modeling and prior sensitivity analysis for zero-one augmented beta regression models with an application to psychometric data. Brazilian Journal of Probability and Statistics, v. 34, n. 2, p. 304-322, 2020Tradução . . Disponível em: https://doi.org/10.1214/18-BJPS423. Acesso em: 07 out. 2022.
    • APA

      Nogarotto, D. C., Azevedo, C. L. N., & Guzmán, J. L. B. (2020). Bayesian modeling and prior sensitivity analysis for zero-one augmented beta regression models with an application to psychometric data. Brazilian Journal of Probability and Statistics, 34( 2), 304-322. doi:10.1214/18-BJPS423
    • NLM

      Nogarotto DC, Azevedo CLN, Guzmán JLB. Bayesian modeling and prior sensitivity analysis for zero-one augmented beta regression models with an application to psychometric data [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 2): 304-322.[citado 2022 out. 07 ] Available from: https://doi.org/10.1214/18-BJPS423
    • Vancouver

      Nogarotto DC, Azevedo CLN, Guzmán JLB. Bayesian modeling and prior sensitivity analysis for zero-one augmented beta regression models with an application to psychometric data [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 2): 304-322.[citado 2022 out. 07 ] Available from: https://doi.org/10.1214/18-BJPS423
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, DISTRIBUIÇÃO LOGÍSTICA, DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

    Online source accessDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      PAZ, Rosineide F. da e BALAKRISHNAN, Narayanaswamy e GUZMÁN, Jorge Luis Bazán. L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications. Brazilian Journal of Probability and Statistics, v. 33, n. 3, p. 455-479, 2019Tradução . . Disponível em: https://www.imstat.org/wp-content/uploads/2018/05/BJPS397.pdf. Acesso em: 07 out. 2022.
    • APA

      Paz, R. F. da, Balakrishnan, N., & Guzmán, J. L. B. (2019). L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications. Brazilian Journal of Probability and Statistics, 33( 3), 455-479. doi:10.1214/18-BJPS397
    • NLM

      Paz RF da, Balakrishnan N, Guzmán JLB. L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 3): 455-479.[citado 2022 out. 07 ] Available from: https://www.imstat.org/wp-content/uploads/2018/05/BJPS397.pdf
    • Vancouver

      Paz RF da, Balakrishnan N, Guzmán JLB. L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 3): 455-479.[citado 2022 out. 07 ] Available from: https://www.imstat.org/wp-content/uploads/2018/05/BJPS397.pdf
  • Source: Brazilian Journal of Probability and Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR

    Subjects: MÉTODOS MCMC, INFERÊNCIA BAYESIANA, SIMULAÇÃO (ESTATÍSTICA)

    Online source accessDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      LOPES, Lucas Pereira e CANCHO, Vicente Garibay e LOUZADA NETO, Francisco. Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach. Brazilian Journal of Probability and Statistics, v. 33, n. 4, p. 801-825, 2019Tradução . . Disponível em: http://dx.doi.org/10.1214/19-BJPS445. Acesso em: 07 out. 2022.
    • APA

      Lopes, L. P., Cancho, V. G., & Louzada Neto, F. (2019). Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach. Brazilian Journal of Probability and Statistics, 33( 4), 801-825. doi:10.1214/19-BJPS445
    • NLM

      Lopes LP, Cancho VG, Louzada Neto F. Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 4): 801-825.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/19-BJPS445
    • Vancouver

      Lopes LP, Cancho VG, Louzada Neto F. Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 4): 801-825.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/19-BJPS445
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO, VEROSSIMILHANÇA

    Online source accessDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      SILVA, Wesley Bertoli da et al. Bayesian approach for the zero-modified Poisson-Lindley regression model. Brazilian Journal of Probability and Statistics, v. 33, n. 4, p. 826-860, 2019Tradução . . Disponível em: http://dx.doi.org/10.1214/19-BJPS447. Acesso em: 07 out. 2022.
    • APA

      Silva, W. B. da, Conceição, K. S., Andrade Filho, M. G. de, & Louzada Neto, F. (2019). Bayesian approach for the zero-modified Poisson-Lindley regression model. Brazilian Journal of Probability and Statistics, 33( 4), 826-860. doi:10.1214/19-BJPS447
    • NLM

      Silva WB da, Conceição KS, Andrade Filho MG de, Louzada Neto F. Bayesian approach for the zero-modified Poisson-Lindley regression model [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 4): 826-860.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/19-BJPS447
    • Vancouver

      Silva WB da, Conceição KS, Andrade Filho MG de, Louzada Neto F. Bayesian approach for the zero-modified Poisson-Lindley regression model [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 4): 826-860.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/19-BJPS447
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: PROBABILIDADE, ESTATÍSTICA

    Online source accessDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      LOUZADA, Francisco. This is the special volume.. [Editorial]. Brazilian Journal of Probability and Statistics. São Paulo: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: http://dx.doi.org/10.1214/17-BJP313ED. Acesso em: 07 out. 2022. , 2017
    • APA

      Louzada, F. (2017). This is the special volume.. [Editorial]. Brazilian Journal of Probability and Statistics. São Paulo: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1214/17-BJP313ED
    • NLM

      Louzada F. This is the special volume.. [Editorial] [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 3): 413.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/17-BJP313ED
    • Vancouver

      Louzada F. This is the special volume.. [Editorial] [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 3): 413.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/17-BJP313ED
  • Source: Brazilian Journal of Probability and Statistics. Unidades: ESALQ, ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA

    Online source accessDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      AFIFY, Ahmed Z et al. A new lifetime model with variable shapes for the hazard rate. Brazilian Journal of Probability and Statistics, v. 31, n. 3, p. 516-541, 2017Tradução . . Disponível em: http://dx.doi.org/10.1214/16-BJPS322. Acesso em: 07 out. 2022.
    • APA

      Afify, A. Z., Cordeiro, G. M., Butt, N. S., Ortega, E. M. M., & Suzuki, A. K. (2017). A new lifetime model with variable shapes for the hazard rate. Brazilian Journal of Probability and Statistics, 31( 3), 516-541. doi:10.1214/16-BJPS322
    • NLM

      Afify AZ, Cordeiro GM, Butt NS, Ortega EMM, Suzuki AK. A new lifetime model with variable shapes for the hazard rate [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 3): 516-541.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/16-BJPS322
    • Vancouver

      Afify AZ, Cordeiro GM, Butt NS, Ortega EMM, Suzuki AK. A new lifetime model with variable shapes for the hazard rate [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 3): 516-541.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/16-BJPS322
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: PROBABILIDADE APLICADA, INFERÊNCIA BAYESIANA, SIMULAÇÃO (ESTATÍSTICA), DISTRIBUIÇÃO DE POISSON

    Online source accessDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      CONCEIÇÃO, Katiane Silva et al. A Bayesian approach for a zero modified Poisson model to predict match outcomes applied to the 2012–13 La Liga season. Brazilian Journal of Probability and Statistics, v. 31, n. 4, p. 746-764, 2017Tradução . . Disponível em: http://dx.doi.org/10.1214/17-BJPS379. Acesso em: 07 out. 2022.
    • APA

      Conceição, K. S., Suzuki, A. K., Andrade Filho, M. G. de, & Louzada, F. (2017). A Bayesian approach for a zero modified Poisson model to predict match outcomes applied to the 2012–13 La Liga season. Brazilian Journal of Probability and Statistics, 31( 4), 746-764. doi:10.1214/17-BJPS379
    • NLM

      Conceição KS, Suzuki AK, Andrade Filho MG de, Louzada F. A Bayesian approach for a zero modified Poisson model to predict match outcomes applied to the 2012–13 La Liga season [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 4): 746-764.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/17-BJPS379
    • Vancouver

      Conceição KS, Suzuki AK, Andrade Filho MG de, Louzada F. A Bayesian approach for a zero modified Poisson model to predict match outcomes applied to the 2012–13 La Liga season [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 4): 746-764.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/17-BJPS379
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

    Online source accessDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      SALASAR, Luis Ernesto Bueno e LEITE, José Galvão e LOUZADA, Francisco. Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion. Brazilian Journal of Probability and Statistics, v. 30, n. 1, p. 47-69, 2016Tradução . . Disponível em: http://dx.doi.org/10.1214/14-BJPS255. Acesso em: 07 out. 2022.
    • APA

      Salasar, L. E. B., Leite, J. G., & Louzada, F. (2016). Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion. Brazilian Journal of Probability and Statistics, 30( 1), 47-69. doi:10.1214/14-BJPS255
    • NLM

      Salasar LEB, Leite JG, Louzada F. Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 1): 47-69.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/14-BJPS255
    • Vancouver

      Salasar LEB, Leite JG, Louzada F. Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 1): 47-69.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/14-BJPS255
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, COMPARAÇÕES MÚLTIPLAS, EXPRESSÃO GÊNICA

    Online source accessDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      SARAIVA, Erlandson Ferreira e LOUZADA, Francisco. A gene-by-gene multiple comparison analysis: a predictive Bayesian approach. Brazilian Journal of Probability and Statistics, v. 29, n. 1, p. 145-171, 2015Tradução . . Disponível em: http://dx.doi.org/10.1214/13-BJPS233. Acesso em: 07 out. 2022.
    • APA

      Saraiva, E. F., & Louzada, F. (2015). A gene-by-gene multiple comparison analysis: a predictive Bayesian approach. Brazilian Journal of Probability and Statistics, 29( 1), 145-171. doi:10.1214/13-BJPS233
    • NLM

      Saraiva EF, Louzada F. A gene-by-gene multiple comparison analysis: a predictive Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2015 ; 29( 1): 145-171.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/13-BJPS233
    • Vancouver

      Saraiva EF, Louzada F. A gene-by-gene multiple comparison analysis: a predictive Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2015 ; 29( 1): 145-171.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/13-BJPS233
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: PROBABILIDADE, LOGÍSTICA, MODELOS PARA PROCESSOS ESTOCÁSTICOS

    Online source accessDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      MILANI, Eder et al. The generalized time-dependent logistic frailty model: an application to a population-based prospective study of incident cases of lung cancer diagnosed in Northern Ireland. Brazilian Journal of Probability and Statistics, v. 29, n. 1, p. 132-144, 2015Tradução . . Disponível em: http://dx.doi.org/10.1214/13-BJPS232. Acesso em: 07 out. 2022.
    • APA

      Milani, E., Tomazella, V. L. D., Dias, T. C. M., & Louzada, F. (2015). The generalized time-dependent logistic frailty model: an application to a population-based prospective study of incident cases of lung cancer diagnosed in Northern Ireland. Brazilian Journal of Probability and Statistics, 29( 1), 132-144. doi:10.1214/13-BJPS232
    • NLM

      Milani E, Tomazella VLD, Dias TCM, Louzada F. The generalized time-dependent logistic frailty model: an application to a population-based prospective study of incident cases of lung cancer diagnosed in Northern Ireland [Internet]. Brazilian Journal of Probability and Statistics. 2015 ; 29( 1): 132-144.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/13-BJPS232
    • Vancouver

      Milani E, Tomazella VLD, Dias TCM, Louzada F. The generalized time-dependent logistic frailty model: an application to a population-based prospective study of incident cases of lung cancer diagnosed in Northern Ireland [Internet]. Brazilian Journal of Probability and Statistics. 2015 ; 29( 1): 132-144.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/13-BJPS232
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, ESTATÍSTICA APLICADA, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA

    Online source accessDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      BAZÁN GUZMÁN, Jorge Luis e ROMEO, José S e RODRIGUES, Josemar. Bayesian skew-probit regression for binary response data. Brazilian Journal of Probability and Statistics, v. 28, n. 4, p. 467-482, 2014Tradução . . Disponível em: http://dx.doi.org/10.1214/13-BJPS218. Acesso em: 07 out. 2022.
    • APA

      Bazán Guzmán, J. L., Romeo, J. S., & Rodrigues, J. (2014). Bayesian skew-probit regression for binary response data. Brazilian Journal of Probability and Statistics, 28( 4), 467-482. doi:10.1214/13-BJPS218
    • NLM

      Bazán Guzmán JL, Romeo JS, Rodrigues J. Bayesian skew-probit regression for binary response data [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 4): 467-482.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/13-BJPS218
    • Vancouver

      Bazán Guzmán JL, Romeo JS, Rodrigues J. Bayesian skew-probit regression for binary response data [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 4): 467-482.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/13-BJPS218
  • Source: Brazilian Journal of Probability and Statistics. Unidades: ICMC, IME

    Subjects: INFERÊNCIA BAYESIANA, PROBABILIDADE, ESTATÍSTICA APLICADA, PSICOMETRIA, DISTRIBUIÇÕES (PROBABILIDADE)

    Online source accessDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      BAZÁN GUZMÁN, Jorge Luis e BRANCO, Marcia D'Elia e BOLFARINE, Heleno. Extensions of the skew-normal ogive item response model. Brazilian Journal of Probability and Statistics, v. 28, n. 1, p. 1-23, 2014Tradução . . Disponível em: http://dx.doi.org/10.1214/12-BJPS191. Acesso em: 07 out. 2022.
    • APA

      Bazán Guzmán, J. L., Branco, M. D. 'E., & Bolfarine, H. (2014). Extensions of the skew-normal ogive item response model. Brazilian Journal of Probability and Statistics, 28( 1), 1-23. doi:10.1214/12-BJPS191
    • NLM

      Bazán Guzmán JL, Branco MD'E, Bolfarine H. Extensions of the skew-normal ogive item response model [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 1): 1-23.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/12-BJPS191
    • Vancouver

      Bazán Guzmán JL, Branco MD'E, Bolfarine H. Extensions of the skew-normal ogive item response model [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 1): 1-23.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/12-BJPS191
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subject: INFERÊNCIA BAYESIANA

    DOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      LOUZADA, Francisco et al. A predictive Bayes factor approach to identify genes differentially expressed: an application to Escherichia coli bacterium data. Brazilian Journal of Probability and Statistics, v. 28, n. 2, p. 167-189, 2014Tradução . . Acesso em: 07 out. 2022.
    • APA

      Louzada, F., Saraiva, E. F., Milan, L., & Cobre, J. (2014). A predictive Bayes factor approach to identify genes differentially expressed: an application to Escherichia coli bacterium data. Brazilian Journal of Probability and Statistics, 28( 2), 167-189. doi:10.1214/12-bjps200
    • NLM

      Louzada F, Saraiva EF, Milan L, Cobre J. A predictive Bayes factor approach to identify genes differentially expressed: an application to Escherichia coli bacterium data. Brazilian Journal of Probability and Statistics. 2014 ; 28( 2): 167-189.[citado 2022 out. 07 ]
    • Vancouver

      Louzada F, Saraiva EF, Milan L, Cobre J. A predictive Bayes factor approach to identify genes differentially expressed: an application to Escherichia coli bacterium data. Brazilian Journal of Probability and Statistics. 2014 ; 28( 2): 167-189.[citado 2022 out. 07 ]
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

    Online source accessDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      CONCEIÇÃO, Katiane Silva et al. A generalized species-area relationship: the Poisson distribution case. Brazilian Journal of Probability and Statistics, v. 28, n. 3, p. 446-460, 2014Tradução . . Disponível em: http://dx.doi.org/10.1214/13-BJPS219. Acesso em: 07 out. 2022.
    • APA

      Conceição, K. S., Pires, R. M., Louzada, F., Andrade Filho, M. G. de, & Diniz, C. A. R. (2014). A generalized species-area relationship: the Poisson distribution case. Brazilian Journal of Probability and Statistics, 28( 3), 446-460. doi:10.1214/13-BJPS219
    • NLM

      Conceição KS, Pires RM, Louzada F, Andrade Filho MG de, Diniz CAR. A generalized species-area relationship: the Poisson distribution case [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 3): 446-460.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/13-BJPS219
    • Vancouver

      Conceição KS, Pires RM, Louzada F, Andrade Filho MG de, Diniz CAR. A generalized species-area relationship: the Poisson distribution case [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 3): 446-460.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/13-BJPS219
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, ESTATÍSTICA APLICADA

    DOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      CANCHO, Vicente Garibay e CASTRO, Mário de e DEY, Dipak K. Long-term survival models with latent activation under a flexible family of distributions. Brazilian Journal of Probability and Statistics, v. 27, n. 4, p. 585-600, 2013Tradução . . Acesso em: 07 out. 2022.
    • APA

      Cancho, V. G., Castro, M. de, & Dey, D. K. (2013). Long-term survival models with latent activation under a flexible family of distributions. Brazilian Journal of Probability and Statistics, 27( 4), 585-600. doi:10.1214/12-bjps186
    • NLM

      Cancho VG, Castro M de, Dey DK. Long-term survival models with latent activation under a flexible family of distributions. Brazilian Journal of Probability and Statistics. 2013 ; 27( 4): 585-600.[citado 2022 out. 07 ]
    • Vancouver

      Cancho VG, Castro M de, Dey DK. Long-term survival models with latent activation under a flexible family of distributions. Brazilian Journal of Probability and Statistics. 2013 ; 27( 4): 585-600.[citado 2022 out. 07 ]
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, ESTATÍSTICA APLICADA

    Online source accessDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      DELGADO, José F et al. The complementary exponential power series distribution. Brazilian Journal of Probability and Statistics, v. 27, n. 4, p. 565-584, 2013Tradução . . Disponível em: http://dx.doi.org/10.1214/11-BJPS182. Acesso em: 07 out. 2022.
    • APA

      Delgado, J. F., Borges, P., Cancho, V. G., & Louzada, F. (2013). The complementary exponential power series distribution. Brazilian Journal of Probability and Statistics, 27( 4), 565-584. doi:10.1080/10.1214/11-BJPS182
    • NLM

      Delgado JF, Borges P, Cancho VG, Louzada F. The complementary exponential power series distribution [Internet]. Brazilian Journal of Probability and Statistics. 2013 ; 27( 4): 565-584.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/11-BJPS182
    • Vancouver

      Delgado JF, Borges P, Cancho VG, Louzada F. The complementary exponential power series distribution [Internet]. Brazilian Journal of Probability and Statistics. 2013 ; 27( 4): 565-584.[citado 2022 out. 07 ] Available from: http://dx.doi.org/10.1214/11-BJPS182
  • Source: Brazilian Journal of Probability and Statistics. Unidades: ICMC, FMRP

    Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, ESTATÍSTICA APLICADA

    DOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      MAZUCHELI, Josmar e LOUZADA, Francisco e ACHCAR, Jorge Alberto. The polysurvival model with long-term survivors. Brazilian Journal of Probability and Statistics, v. 26, n. 3, p. 313-324, 2012Tradução . . Acesso em: 07 out. 2022.
    • APA

      Mazucheli, J., Louzada, F., & Achcar, J. A. (2012). The polysurvival model with long-term survivors. Brazilian Journal of Probability and Statistics, 26( 3), 313-324. doi:10.1214/11-bjps138
    • NLM

      Mazucheli J, Louzada F, Achcar JA. The polysurvival model with long-term survivors. Brazilian Journal of Probability and Statistics. 2012 ; 26( 3): 313-324.[citado 2022 out. 07 ]
    • Vancouver

      Mazucheli J, Louzada F, Achcar JA. The polysurvival model with long-term survivors. Brazilian Journal of Probability and Statistics. 2012 ; 26( 3): 313-324.[citado 2022 out. 07 ]
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, ESTATÍSTICA APLICADA

    DOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      DINIZ, Carlos Alberto Ribeiro e LOUZADA, Francisco e MORITA, Lia Hanna Martins. The multiplicative heteroscedastic Von Bertalanffy model. Brazilian Journal of Probability and Statistics, v. 26, n. 1, p. 71-81, 2012Tradução . . Acesso em: 07 out. 2022.
    • APA

      Diniz, C. A. R., Louzada, F., & Morita, L. H. M. (2012). The multiplicative heteroscedastic Von Bertalanffy model. Brazilian Journal of Probability and Statistics, 26( 1), 71-81. doi:10.1214/10-bjps120
    • NLM

      Diniz CAR, Louzada F, Morita LHM. The multiplicative heteroscedastic Von Bertalanffy model. Brazilian Journal of Probability and Statistics. 2012 ; 26( 1): 71-81.[citado 2022 out. 07 ]
    • Vancouver

      Diniz CAR, Louzada F, Morita LHM. The multiplicative heteroscedastic Von Bertalanffy model. Brazilian Journal of Probability and Statistics. 2012 ; 26( 1): 71-81.[citado 2022 out. 07 ]

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2022