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Artigo de periodico
Bivariate Kaminsky's functional equations and their probability solutions generated by line integral approach: a new modeling tool for risks under dependencies (2025)
Kolev, Nikolai ; Dimitrov, Boyan
Source: International Journal of Sustainability and Risk Control. Unidade: IME
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), RISCO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KOLEV, Nikolai e DIMITROV, Boyan. Bivariate Kaminsky's functional equations and their probability solutions generated by line integral approach: a new modeling tool for risks under dependencies. International Journal of Sustainability and Risk Control, v. 1, n. 1, p. 1-9, 2025Tradução . . Disponível em: https://ijsrc.com/index.php/ijsrc/article/view/4/2. Acesso em: 19 fev. 2026.
APA
Kolev, N., & Dimitrov, B. (2025). Bivariate Kaminsky's functional equations and their probability solutions generated by line integral approach: a new modeling tool for risks under dependencies. International Journal of Sustainability and Risk Control, 1( 1), 1-9. Recuperado de https://ijsrc.com/index.php/ijsrc/article/view/4/2
NLM
Kolev N, Dimitrov B. Bivariate Kaminsky's functional equations and their probability solutions generated by line integral approach: a new modeling tool for risks under dependencies [Internet]. International Journal of Sustainability and Risk Control. 2025 ; 1( 1): 1-9.[citado 2026 fev. 19 ] Available from: https://ijsrc.com/index.php/ijsrc/article/view/4/2
Vancouver
Kolev N, Dimitrov B. Bivariate Kaminsky's functional equations and their probability solutions generated by line integral approach: a new modeling tool for risks under dependencies [Internet]. International Journal of Sustainability and Risk Control. 2025 ; 1( 1): 1-9.[citado 2026 fev. 19 ] Available from: https://ijsrc.com/index.php/ijsrc/article/view/4/2
Artigo de periodico
Optimal burn-in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas (2021)
Morita, Lia Hanna Martins ; Tomazella, Vera Lucia Damasceno ; Ferreira, Paulo Henrique ; Ramos, Pedro Luiz ; Balakrishnan, Narayanaswamy ; Louzada, Francisco
Source: Applied Stochastic Models in Business and Industry. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, PROCESSOS GAUSSIANOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MORITA, Lia Hanna Martins et al. Optimal burn-in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas. Applied Stochastic Models in Business and Industry, v. 37, n. 3, p. 612-627, 2021Tradução . . Disponível em: https://doi.org/10.1002/asmb.2601. Acesso em: 19 fev. 2026.
APA
Morita, L. H. M., Tomazella, V. L. D., Ferreira, P. H., Ramos, P. L., Balakrishnan, N., & Louzada, F. (2021). Optimal burn-in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas. Applied Stochastic Models in Business and Industry, 37( 3), 612-627. doi:10.1002/asmb.2601
NLM
Morita LHM, Tomazella VLD, Ferreira PH, Ramos PL, Balakrishnan N, Louzada F. Optimal burn-in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas [Internet]. Applied Stochastic Models in Business and Industry. 2021 ; 37( 3): 612-627.[citado 2026 fev. 19 ] Available from: https://doi.org/10.1002/asmb.2601
Vancouver
Morita LHM, Tomazella VLD, Ferreira PH, Ramos PL, Balakrishnan N, Louzada F. Optimal burn-in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas [Internet]. Applied Stochastic Models in Business and Industry. 2021 ; 37( 3): 612-627.[citado 2026 fev. 19 ] Available from: https://doi.org/10.1002/asmb.2601
Artigo de periodico
Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach (2019)
Lopes, Lucas Pereira ; Cancho, Vicente Garibay ; Louzada, Francisco
Source: Brazilian Journal of Probability and Statistics. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Subjects: MÉTODOS MCMC, INFERÊNCIA BAYESIANA, SIMULAÇÃO (ESTATÍSTICA)
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, 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: https://doi.org/10.1214/19-BJPS445. Acesso em: 19 fev. 2026.
APA
Lopes, L. P., Cancho, V. G., & Louzada, 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 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 2026 fev. 19 ] Available from: https://doi.org/10.1214/19-BJPS445
Vancouver
Lopes LP, Cancho VG, Louzada 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 2026 fev. 19 ] Available from: https://doi.org/10.1214/19-BJPS445
Trabalho de evento-anais periodico
Estimating multivariate discrete distributions using Bernstein copulas (2018)
Fossaluza, Victor ; Esteves, Luís Gustavo; Pereira, Carlos Alberto de Bragança
Source: Entropy. Conference titles: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - MaxEnt 2017. Unidade: IME
Subjects: INFERÊNCIA NÃO PARAMÉTRICA, DISTRIBUIÇÃO DISCRETA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FOSSALUZA, Victor e ESTEVES, Luís Gustavo e PEREIRA, Carlos Alberto de Bragança. Estimating multivariate discrete distributions using Bernstein copulas. Entropy. Basel: MDPI. Disponível em: https://doi.org/10.3390/e20030194. Acesso em: 19 fev. 2026. , 2018
APA
Fossaluza, V., Esteves, L. G., & Pereira, C. A. de B. (2018). Estimating multivariate discrete distributions using Bernstein copulas. Entropy. Basel: MDPI. doi:10.3390/e20030194
NLM
Fossaluza V, Esteves LG, Pereira CA de B. Estimating multivariate discrete distributions using Bernstein copulas [Internet]. Entropy. 2018 ; 20( 3): 194.[citado 2026 fev. 19 ] Available from: https://doi.org/10.3390/e20030194
Vancouver
Fossaluza V, Esteves LG, Pereira CA de B. Estimating multivariate discrete distributions using Bernstein copulas [Internet]. Entropy. 2018 ; 20( 3): 194.[citado 2026 fev. 19 ] Available from: https://doi.org/10.3390/e20030194
Artigo de periodico
A weak version of bivariate lack of memory property (2018)
Kolev, Nikolai ; Pinto, Jayme
Source: Brazilian Journal of Probability and Statistics. Unidade: IME
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE MULTIVARIADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KOLEV, Nikolai e PINTO, Jayme. A weak version of bivariate lack of memory property. Brazilian Journal of Probability and Statistics, v. 32, n. 4, p. 873-906, 2018Tradução . . Disponível em: https://doi.org/10.1214/17-BJPS371. Acesso em: 19 fev. 2026.
APA
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
NLM
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.[citado 2026 fev. 19 ] 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.[citado 2026 fev. 19 ] Available from: https://doi.org/10.1214/17-BJPS371
Artigo de periodico
Statistical monitoring of a web server for error rates: a bivariate time-series copula-based modeling approach (2017)
Ara, Anderson; Louzada, Francisco ; Diniz, Carlos A. R.
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, MODELOS EM SÉRIES TEMPORAIS, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARA, Anderson e LOUZADA, Francisco e DINIZ, Carlos A. R. Statistical monitoring of a web server for error rates: a bivariate time-series copula-based modeling approach. Journal of Applied Statistics, v. 44, n. 13, p. 2287-2300, 2017Tradução . . Disponível em: https://doi.org/10.1080/02664763.2016.1238041. Acesso em: 19 fev. 2026.
APA
Ara, A., Louzada, F., & Diniz, C. A. R. (2017). Statistical monitoring of a web server for error rates: a bivariate time-series copula-based modeling approach. Journal of Applied Statistics, 44( 13), 2287-2300. doi:10.1080/02664763.2016.1238041
NLM
Ara A, Louzada F, Diniz CAR. Statistical monitoring of a web server for error rates: a bivariate time-series copula-based modeling approach [Internet]. Journal of Applied Statistics. 2017 ; 44( 13): 2287-2300.[citado 2026 fev. 19 ] Available from: https://doi.org/10.1080/02664763.2016.1238041
Vancouver
Ara A, Louzada F, Diniz CAR. Statistical monitoring of a web server for error rates: a bivariate time-series copula-based modeling approach [Internet]. Journal of Applied Statistics. 2017 ; 44( 13): 2287-2300.[citado 2026 fev. 19 ] Available from: https://doi.org/10.1080/02664763.2016.1238041

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