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

    Subjects: Distribuições (probabilidade), Inferência Bayesiana, Amostragem, Método De Monte Carlo

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    • ABNT

      SARAIVA, Erlandson Ferreira; SUZUKI, Adriano Kamimura; MILAN, Luis Aparecido. A Bayesian sparse finite mixture model for clustering data from a heterogeneous population. Brazilian Journal of Probability and Statistics, São Paulo, ABE, v. 34, n. 2, p. 323-344, 2020. Disponível em: < https://doi.org/10.1214/18-BJPS425 > DOI: 10.1214/18-BJPS425.
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      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.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.Available from: https://doi.org/10.1214/18-BJPS425
  • In: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: Inferência Bayesiana, Análise De Regressão E De Correlação

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      NOGAROTTO, Danilo Covaes; AZEVEDO, Caio Lucidius Naberezny; 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, São Paulo, Associacao Brasileira de Estatistica, v. 34, n. 2, p. 304-322, 2020. Disponível em: < https://doi.org/10.1214/18-BJPS423 > DOI: 10.1214/18-BJPS423.
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      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
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      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.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.Available from: https://doi.org/10.1214/18-BJPS423
  • In: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: Inferência Bayesiana, Distribuição Logística, Distribuições (probabilidade), Análise De Regressão E De Correlação

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      PAZ, Rosineide F. da; BALAKRISHNAN, Narayanaswamy; GUZMÁN, Jorge Luis Bazán. L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications. Brazilian Journal of Probability and Statistics, São Paulo, ABE, v. 33, n. 3, p. 455-479, 2019. Disponível em: < https://www.imstat.org/wp-content/uploads/2018/05/BJPS397.pdf > DOI: 10.1214/18-BJPS397.
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      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
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      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.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.Available from: https://www.imstat.org/wp-content/uploads/2018/05/BJPS397.pdf
  • In: Brazilian Journal of Probability and Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR

    Subjects: Métodos Mcmc, Inferência Bayesiana, Simulação (estatística)

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      LOPES, Lucas Pereira; CANCHO, Vicente Garibay; LOUZADA NETO, Francisco. Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach. Brazilian Journal of Probability and Statistics, São Paulo, ABE, v. 33, n. 4, p. 801-825, 2019. Disponível em: < http://dx.doi.org/10.1214/19-BJPS445 > DOI: 10.1214/19-BJPS445.
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      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.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.Available from: http://dx.doi.org/10.1214/19-BJPS445
  • In: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: Análise De Sobrevivência, Estatística Aplicada

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      SINGER, Júlio da Motta; ROCHA, Francisco Marcelo Monteiro da; ANDRÉ, Carmen Diva Saldiva de; ZERBINI, Talita. Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals. Brazilian Journal of Probability and Statistics, São Paulo, Institute of Mathematical Statistics, v. 33, n. 1, p. 161-183, 2019. Disponível em: < http://dx.doi.org/10.1214/17-bjps382 > DOI: 10.1214/17-bjps382.
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      Singer, J. da M., Rocha, F. M. M. da, André, C. D. S. de, & Zerbini, T. (2019). Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals. Brazilian Journal of Probability and Statistics, 33( 1), 161-183. doi:10.1214/17-bjps382
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      Singer J da M, Rocha FMM da, André CDS de, Zerbini T. Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 1): 161-183.Available from: http://dx.doi.org/10.1214/17-bjps382
    • Vancouver

      Singer J da M, Rocha FMM da, André CDS de, Zerbini T. Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 1): 161-183.Available from: http://dx.doi.org/10.1214/17-bjps382
  • In: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: Análise De Regressão E De Correlação, Inferência Bayesiana, Método De Monte Carlo, Verossimilhança

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      SILVA, Wesley Bertoli da; CONCEIÇÃO, Katiane Silva; ANDRADE FILHO, Marinho Gomes de; LOUZADA NETO, Francisco. Bayesian approach for the zero-modified Poisson-Lindley regression model. Brazilian Journal of Probability and Statistics, São Paulo, ABE, v. 33, n. 4, p. 826-860, 2019. Disponível em: < http://dx.doi.org/10.1214/19-BJPS447 > DOI: 10.1214/19-BJPS447.
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      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.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.Available from: http://dx.doi.org/10.1214/19-BJPS447
  • In: Brazilian Journal of Probability and Statistics. Unidade: EACH

    Subjects: Coautor, Cooperação, Cientometria, Produção Científica, Estatística, Probabilidade

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      DIGIAMPIETRI, Luciano Antonio; RÊGO, Leandro; SOUZA, Filipe Costa de; OSPINA, Raydonal; CHALCO, Jesús Mena. Brazilian network of PhDs working with probability and statistics. Brazilian Journal of Probability and Statistics, São Paulo, v. 32, n. 4, p. 755-782, 2018. Disponível em: < http://dx.doi.org/10.1214/17-BJPS362 > DOI: 10.1214/17-BJPS362.
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      Digiampietri, L. A., Rêgo, L., Souza, F. C. de, Ospina, R., & Chalco, J. M. (2018). Brazilian network of PhDs working with probability and statistics. Brazilian Journal of Probability and Statistics, 32( 4), 755-782. doi:10.1214/17-BJPS362
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      Digiampietri LA, Rêgo L, Souza FC de, Ospina R, Chalco JM. Brazilian network of PhDs working with probability and statistics [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 4): 755-782.Available from: http://dx.doi.org/10.1214/17-BJPS362
    • Vancouver

      Digiampietri LA, Rêgo L, Souza FC de, Ospina R, Chalco JM. Brazilian network of PhDs working with probability and statistics [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 4): 755-782.Available from: http://dx.doi.org/10.1214/17-BJPS362
  • In: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: Distribuições (probabilidade), Análise Multivariada

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      KOLEV, Nikolai; PINTO, Jayme. A weak version of bivariate lack of memory property. Brazilian Journal of Probability and Statistics, São Paulo, Associação Brasileira de Estatística, v. 32, n. 4, p. 873-906, 2018. Disponível em: < https://doi.org/10.1214/17-BJPS371 > DOI: 10.1214/17-BJPS371.
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      Kolev, N., & Pinto, J. (2018). A weak version of bivariate lack of memory property. Brazilian Journal of Probability and Statistics, 32( 4), 873-906. doi:10.1214/17-BJPS371
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      Kolev N, Pinto J. A weak version of bivariate lack of memory property [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 4): 873-906.Available from: https://doi.org/10.1214/17-BJPS371
    • Vancouver

      Kolev N, Pinto J. A weak version of bivariate lack of memory property [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 4): 873-906.Available from: https://doi.org/10.1214/17-BJPS371
  • In: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: Triangulização

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      SISKO, Valentin; YAMBARTSEV, Anatoli; ZOHREN, Stefan. A note on weak convergence results for infinite causal triangulations. Brazilian Journal of Probability and Statistics, São Paulo, Institute of Mathematical Statistics, v. 32, n. 3, p. 597-615, 2018. Disponível em: < http://dx.doi.org/10.1214/17-bjps356 > DOI: 10.1214/17-bjps356.
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      Sisko, V., Yambartsev, A., & Zohren, S. (2018). A note on weak convergence results for infinite causal triangulations. Brazilian Journal of Probability and Statistics, 32( 3), 597-615. doi:10.1214/17-bjps356
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      Sisko V, Yambartsev A, Zohren S. A note on weak convergence results for infinite causal triangulations [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 3): 597-615.Available from: http://dx.doi.org/10.1214/17-bjps356
    • Vancouver

      Sisko V, Yambartsev A, Zohren S. A note on weak convergence results for infinite causal triangulations [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 3): 597-615.Available from: http://dx.doi.org/10.1214/17-bjps356
  • In: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: Regressão Linear

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      FERREIRA, Clécio da Silva; VILCA, Filidor; BOLFARINE, Heleno. Diagnostics analysis for skew-normal linear regression models: Applications to a quality of life dataset. Brazilian Journal of Probability and Statistics, São Paulo, Institute of Mathematical Statistics, v. 32, n. 3, p. 525-544, 2018. Disponível em: < http://dx.doi.org/10.1214/17-bjps352 > DOI: 10.1214/17-bjps352.
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      Ferreira, C. da S., Vilca, F., & Bolfarine, H. (2018). Diagnostics analysis for skew-normal linear regression models: Applications to a quality of life dataset. Brazilian Journal of Probability and Statistics, 32( 3), 525-544. doi:10.1214/17-bjps352
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      Ferreira C da S, Vilca F, Bolfarine H. Diagnostics analysis for skew-normal linear regression models: Applications to a quality of life dataset [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 3): 525-544.Available from: http://dx.doi.org/10.1214/17-bjps352
    • Vancouver

      Ferreira C da S, Vilca F, Bolfarine H. Diagnostics analysis for skew-normal linear regression models: Applications to a quality of life dataset [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 3): 525-544.Available from: http://dx.doi.org/10.1214/17-bjps352
  • In: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: Inferência Bayesiana

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      FIGUEROA-ZÚÑIGA, Jorge; CARRASCO, Jalmar Manuel Farfán; ARELLANO-VALLE, Reinaldo Boris; FERRARI, Sílvia Lopes de Paula. A Bayesian approach to errors-in-variables beta regression. Brazilian Journal of Probability and Statistics, São Paulo, Institute of Mathematical Statistics, v. 32, n. 3, p. 559-582, 2018. Disponível em: < http://dx.doi.org/10.1214/17-bjps354 > DOI: 10.1214/17-bjps354.
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      Figueroa-Zúñiga, J., Carrasco, J. M. F., Arellano-Valle, R. B., & Ferrari, S. L. de P. (2018). A Bayesian approach to errors-in-variables beta regression. Brazilian Journal of Probability and Statistics, 32( 3), 559-582. doi:10.1214/17-bjps354
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      Figueroa-Zúñiga J, Carrasco JMF, Arellano-Valle RB, Ferrari SL de P. A Bayesian approach to errors-in-variables beta regression [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 3): 559-582.Available from: http://dx.doi.org/10.1214/17-bjps354
    • Vancouver

      Figueroa-Zúñiga J, Carrasco JMF, Arellano-Valle RB, Ferrari SL de P. A Bayesian approach to errors-in-variables beta regression [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 3): 559-582.Available from: http://dx.doi.org/10.1214/17-bjps354
  • In: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: Inferência Paramétrica

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      MELO, Tatiane F. N; FERRARI, Sílvia Lopes de Paula; PATRIOTA, Alexandre Galvão. Improved estimation in a general multivariate elliptical model. Brazilian Journal of Probability and Statistics, São Paulo, Institute of Mathematical Statistics, v. 32, n. 1, p. 44-68, 2018. Disponível em: < http://dx.doi.org/10.1214/16-bjps331 > DOI: 10.1214/16-bjps331.
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      Melo, T. F. N., Ferrari, S. L. de P., & Patriota, A. G. (2018). Improved estimation in a general multivariate elliptical model. Brazilian Journal of Probability and Statistics, 32( 1), 44-68. doi:10.1214/16-bjps331
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      Melo TFN, Ferrari SL de P, Patriota AG. Improved estimation in a general multivariate elliptical model [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 1): 44-68.Available from: http://dx.doi.org/10.1214/16-bjps331
    • Vancouver

      Melo TFN, Ferrari SL de P, Patriota AG. Improved estimation in a general multivariate elliptical model [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 1): 44-68.Available from: http://dx.doi.org/10.1214/16-bjps331
  • In: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: Probabilidade, Estatística

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      LOUZADA, Francisco. This is the special volume.. [Editorial]. Brazilian Journal of Probability and Statistics[S.l: s.n.], 2017.Disponível em: DOI: 10.1214/17-BJP313ED.
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      Louzada, F. (2017). This is the special volume.. [Editorial]. Brazilian Journal of Probability and Statistics. São Paulo: Brazilian Statistical Association. doi:10.1214/17-BJP313ED
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      Louzada F. This is the special volume.. [Editorial] [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 3): 413.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.Available from: http://dx.doi.org/10.1214/17-BJP313ED
  • In: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: Inferência Bayesiana, Inferência Não Paramétrica, Análise De Regressão E De Correlação Não Linear

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      RONDON, Luz Marina; BOLFARINE, Heleno. Bayesian analysis of flexible measurement error models. Brazilian Journal of Probability and Statistics, São Paulo, v. 31, n. 3, p. 618-639, 2017. Disponível em: < https://dx.doi.org/10.1214/16-BJPS326 > DOI: 10.1214/16-BJPS326.
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      Rondon, L. M., & Bolfarine, H. (2017). Bayesian analysis of flexible measurement error models. Brazilian Journal of Probability and Statistics, 31( 3), 618-639. doi:10.1214/16-BJPS326
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      Rondon LM, Bolfarine H. Bayesian analysis of flexible measurement error models [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 3): 618-639.Available from: https://dx.doi.org/10.1214/16-BJPS326
    • Vancouver

      Rondon LM, Bolfarine H. Bayesian analysis of flexible measurement error models [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 3): 618-639.Available from: https://dx.doi.org/10.1214/16-BJPS326
  • In: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: Probabilidade, Processos Estocásticos

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      CERDA HERNÁNDEZ, José Javier; IAMBARTSEV, Anatoli; ZOHREN, S. On the critical probability of percolation on random causal triangulations. Brazilian Journal of Probability and Statistics, São Paulo, v. 31, n. 2, p. 215-228, 2017. Disponível em: < http://dx.doi.org/10.1214/16-bjps310 > DOI: 10.1214/16-bjps310.
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      Cerda Hernández, J. J., Iambartsev, A., & Zohren, S. (2017). On the critical probability of percolation on random causal triangulations. Brazilian Journal of Probability and Statistics, 31( 2), 215-228. doi:10.1214/16-bjps310
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      Cerda Hernández JJ, Iambartsev A, Zohren S. On the critical probability of percolation on random causal triangulations [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 2): 215-228.Available from: http://dx.doi.org/10.1214/16-bjps310
    • Vancouver

      Cerda Hernández JJ, Iambartsev A, Zohren S. On the critical probability of percolation on random causal triangulations [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 2): 215-228.Available from: http://dx.doi.org/10.1214/16-bjps310
  • In: Brazilian Journal of Probability and Statistics. Unidades: ESALQ, ICMC

    Subjects: Inferência Paramétrica, Distribuições (probabilidade), Verossimilhança, Dados Censurados

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      AFIFY, Ahmed Z; CORDEIRO, Gauss Moutinho; BUTT, Nadeem Shafique; ORTEGA, Edwin Moisés Marcos; SUZUKI, Adriano Kamimura. A new lifetime model with variable shapes for the hazard rate. Brazilian Journal of Probability and Statistics, São Paulo, Brazilian Statistical Association, v. 31, n. 3, p. 516-541, 2017. Disponível em: < http://dx.doi.org/10.1214/16-BJPS322 > DOI: 10.1214/16-BJPS322.
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      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
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      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.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.Available from: http://dx.doi.org/10.1214/16-BJPS322
  • In: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: Probabilidade Aplicada, Inferência Bayesiana, Simulação (estatística), Distribuição De Poisson

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      CONCEIÇÃO, Katiane Silva; SUZUKI, Adriano Kamimura; ANDRADE FILHO, Marinho Gomes de; LOUZADA, Francisco. 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, São Paulo, Brazilian Statistical Association, v. 31, n. 4, p. 746-764, 2017. Disponível em: < http://dx.doi.org/10.1214/17-BJPS379 > DOI: 10.1214/17-BJPS379.
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      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
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      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.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.Available from: http://dx.doi.org/10.1214/17-BJPS379
  • In: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: Estatística

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      ARMENDÁRIZ, Inés; MACHADO, Fábio Prates; FONTES, Luiz Renato; POPOV. SERGUEI,. Preface. Brazilian Journal of Probability and Statistics, São Paulo, Associacao Brasileira de Estatistica, v. 31, n. 3, p. 414-414, 2017. Disponível em: < http://dx.doi.org/10.1214/17-bjps313pre > DOI: 10.1214/17-bjps313pre.
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      Armendáriz, I., Machado, F. P., Fontes, L. R., & Popov. Serguei,. (2017). Preface. Brazilian Journal of Probability and Statistics, 31( 3), 414-414. doi:10.1214/17-bjps313pre
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      Armendáriz I, Machado FP, Fontes LR, Popov. Serguei. Preface [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 3): 414-414.Available from: http://dx.doi.org/10.1214/17-bjps313pre
    • Vancouver

      Armendáriz I, Machado FP, Fontes LR, Popov. Serguei. Preface [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 3): 414-414.Available from: http://dx.doi.org/10.1214/17-bjps313pre
  • In: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: Distribuições (probabilidade), Inferência Bayesiana

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    • ABNT

      GODOI, Luciana Graziela de; BRANCO, Marcia D'Elia; RUGGERI, Fabrizio. Concentration function for the skew-normal and skew-. Brazilian Journal of Probability and Statistics, São Paulo, v. 31, n. 2, p. 373-393, 2017. Disponível em: < https://dx.doi.org/10.1214/16-BJPS318 > DOI: 10.1214/16-BJPS318.
    • APA

      Godoi, L. G. de, Branco, M. D. 'E., & Ruggeri, F. (2017). Concentration function for the skew-normal and skew-. Brazilian Journal of Probability and Statistics, 31( 2), 373-393. doi:10.1214/16-BJPS318
    • NLM

      Godoi LG de, Branco MD'E, Ruggeri F. Concentration function for the skew-normal and skew- [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 2): 373-393.Available from: https://dx.doi.org/10.1214/16-BJPS318
    • Vancouver

      Godoi LG de, Branco MD'E, Ruggeri F. Concentration function for the skew-normal and skew- [Internet]. Brazilian Journal of Probability and Statistics. 2017 ; 31( 2): 373-393.Available from: https://dx.doi.org/10.1214/16-BJPS318
  • In: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: Estatística, Inferência Não Paramétrica

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

      PORTO, Rogério; MORETTIN, Pedro Alberto; PERCIVAL, Donald; AUBIN, Elisete. Wavelet shrinkage for regression models with random design and correlated errors. Brazilian Journal of Probability and Statistics, São Paulo, Associação Brasileira de Estatística, v. 30, n. 4, p. 614-652, 2016. Disponível em: < http://dx.doi.org/10.1214/15-bjps296 > DOI: 10.1214/15-bjps296.
    • APA

      Porto, R., Morettin, P. A., Percival, D., & Aubin, E. (2016). Wavelet shrinkage for regression models with random design and correlated errors. Brazilian Journal of Probability and Statistics, 30( 4), 614-652. doi:10.1214/15-bjps296
    • NLM

      Porto R, Morettin PA, Percival D, Aubin E. Wavelet shrinkage for regression models with random design and correlated errors [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 4): 614-652.Available from: http://dx.doi.org/10.1214/15-bjps296
    • Vancouver

      Porto R, Morettin PA, Percival D, Aubin E. Wavelet shrinkage for regression models with random design and correlated errors [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 4): 614-652.Available from: http://dx.doi.org/10.1214/15-bjps296


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