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Artigo de periodico
A new flexible regression model with application to recovery probability Covid-19 patients (2024)
Prataviera, Fabio ; Hashimoto, Elisabeth Mie ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss Moutinho ; Cancho, Vicente Garibay ; Vila, Roberto
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: COVID-19, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE)
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ABNT
PRATAVIERA, Fabio et al. A new flexible regression model with application to recovery probability Covid-19 patients. Journal of Applied Statistics, v. 51, n. 5, p. 826-844, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2163229. Acesso em: 02 nov. 2024.
APA
Prataviera, F., Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Vila, R. (2024). A new flexible regression model with application to recovery probability Covid-19 patients. Journal of Applied Statistics, 51( 5), 826-844. doi:10.1080/02664763.2022.2163229
NLM
Prataviera F, Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Vila R. A new flexible regression model with application to recovery probability Covid-19 patients [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 826-844.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1080/02664763.2022.2163229
Vancouver
Prataviera F, Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Vila R. A new flexible regression model with application to recovery probability Covid-19 patients [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 826-844.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1080/02664763.2022.2163229
Artigo de periodico
A new mixed-effects regression model for the analysis of zero-modified hierarchical count data (2021)
Silva, Wesley Bertoli da ; Conceição, Katiane Silva ; Andrade, Marinho Gomes de ; Louzada, Francisco
Source: Biometrical Journal. Unidade: ICMC
Subjects: ANÁLISE DE DADOS, INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO
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ABNT
SILVA, Wesley Bertoli da et al. A new mixed-effects regression model for the analysis of zero-modified hierarchical count data. Biometrical Journal, v. 63, p. 81-104, 2021Tradução . . Disponível em: https://doi.org/10.1002/bimj.202000046. Acesso em: 02 nov. 2024.
APA
Silva, W. B. da, Conceição, K. S., Andrade, M. G. de, & Louzada, F. (2021). A new mixed-effects regression model for the analysis of zero-modified hierarchical count data. Biometrical Journal, 63, 81-104. doi:10.1002/bimj.202000046
NLM
Silva WB da, Conceição KS, Andrade MG de, Louzada F. A new mixed-effects regression model for the analysis of zero-modified hierarchical count data [Internet]. Biometrical Journal. 2021 ; 63 81-104.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1002/bimj.202000046
Vancouver
Silva WB da, Conceição KS, Andrade MG de, Louzada F. A new mixed-effects regression model for the analysis of zero-modified hierarchical count data [Internet]. Biometrical Journal. 2021 ; 63 81-104.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1002/bimj.202000046
Trabalho de evento
Selecting the most relevant features for the identification of long non-coding RNAs in plants (2019)
Bonidia, Robson P ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Paschoal, Alexandre Rossi ; Sanches, Danilo Sipoli
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: BIOINFORMÁTICA, HEURÍSTICA, ALGORITMOS GENÉTICOS, APRENDIZADO COMPUTACIONAL, RNA
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ABNT
BONIDIA, Robson P et al. Selecting the most relevant features for the identification of long non-coding RNAs in plants. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00100. Acesso em: 02 nov. 2024.
APA
Bonidia, R. P., Carvalho, A. C. P. de L. F. de, Paschoal, A. R., & Sanches, D. S. (2019). Selecting the most relevant features for the identification of long non-coding RNAs in plants. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00100
NLM
Bonidia RP, Carvalho ACP de LF de, Paschoal AR, Sanches DS. Selecting the most relevant features for the identification of long non-coding RNAs in plants [Internet]. Proceedings. 2019 ;[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/BRACIS.2019.00100
Vancouver
Bonidia RP, Carvalho ACP de LF de, Paschoal AR, Sanches DS. Selecting the most relevant features for the identification of long non-coding RNAs in plants [Internet]. Proceedings. 2019 ;[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/BRACIS.2019.00100
Artigo de periodico
A meta-learning approach for selecting image segmentation algorithm (2019)
Aguiar, Gabriel Jones; Mantovani, Rafael Gomes ; Mastelini, Saulo Martiello ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Campos, Gabriel F. C; Barbon Júnior, Sylvio
Source: Pattern Recognition Letters. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, PROCESSAMENTO DE IMAGENS, ALGORITMOS PARA IMAGENS
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ABNT
AGUIAR, Gabriel Jones et al. A meta-learning approach for selecting image segmentation algorithm. Pattern Recognition Letters, v. 128, p. 480-487, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2019.10.018. Acesso em: 02 nov. 2024.
APA
Aguiar, G. J., Mantovani, R. G., Mastelini, S. M., Carvalho, A. C. P. de L. F. de, Campos, G. F. C., & Barbon Júnior, S. (2019). A meta-learning approach for selecting image segmentation algorithm. Pattern Recognition Letters, 128, 480-487. doi:10.1016/j.patrec.2019.10.018
NLM
Aguiar GJ, Mantovani RG, Mastelini SM, Carvalho ACP de LF de, Campos GFC, Barbon Júnior S. A meta-learning approach for selecting image segmentation algorithm [Internet]. Pattern Recognition Letters. 2019 ; 128 480-487.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1016/j.patrec.2019.10.018
Vancouver
Aguiar GJ, Mantovani RG, Mastelini SM, Carvalho ACP de LF de, Campos GFC, Barbon Júnior S. A meta-learning approach for selecting image segmentation algorithm [Internet]. Pattern Recognition Letters. 2019 ; 128 480-487.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1016/j.patrec.2019.10.018
Artigo de periodico
Bayesian approach for the zero-modified Poisson-Lindley regression model (2019)
Silva, Wesley Bertoli da ; Conceição, Katiane Silva ; Andrade, Marinho Gomes de ; Louzada, Francisco
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO, VEROSSIMILHANÇA
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: https://doi.org/10.1214/19-BJPS447. Acesso em: 02 nov. 2024.
APA
Silva, W. B. da, Conceição, K. S., Andrade, M. G. de, & Louzada, 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 MG de, Louzada F. Bayesian approach for the zero-modified Poisson-Lindley regression model [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 4): 826-860.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1214/19-BJPS447
Vancouver
Silva WB da, Conceição KS, Andrade MG de, Louzada F. Bayesian approach for the zero-modified Poisson-Lindley regression model [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 4): 826-860.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1214/19-BJPS447
Artigo de periodico
Zero-spiked regression models generated by gamma random variables with application in the resin oil production (2019)
Hashimoto, Elizabeth Mie; Ortega, Edwin Moisés Marcos; Cordeiro, Gauss Moutinho; Cancho, Vicente Garibay ; Klauberg, Carine
Source: Journal of Statistical Computation and Simulation. Unidades: ESALQ, ICMC
Subjects: INFERÊNCIA ESTATÍSTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
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ABNT
HASHIMOTO, Elizabeth Mie et al. Zero-spiked regression models generated by gamma random variables with application in the resin oil production. Journal of Statistical Computation and Simulation, v. 89, n. 1, p. 52-70, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1534116. Acesso em: 02 nov. 2024.
APA
Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Klauberg, C. (2019). Zero-spiked regression models generated by gamma random variables with application in the resin oil production. Journal of Statistical Computation and Simulation, 89( 1), 52-70. doi:10.1080/00949655.2018.1534116
NLM
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Klauberg C. Zero-spiked regression models generated by gamma random variables with application in the resin oil production [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 1): 52-70.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
Vancouver
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Klauberg C. Zero-spiked regression models generated by gamma random variables with application in the resin oil production [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 1): 52-70.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
Artigo de periodico
Output feedback of Markov jump linear systems with no mode observation: an automotive throttle application (2016)
Vargas, Alessandro N; Acho, Leonardo; Pujol, Gisela; Costa, Eduardo Fontoura ; Ishihara, João Y; Val, João B. R. do
Source: International Journal of Robust and Nonlinear Control. Unidade: ICMC
Assunto: PROCESSOS ESTOCÁSTICOS
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ABNT
VARGAS, Alessandro N et al. Output feedback of Markov jump linear systems with no mode observation: an automotive throttle application. International Journal of Robust and Nonlinear Control, v. 26, n. Ju 2016, p. 1980-1993, 2016Tradução . . Disponível em: https://doi.org/10.1002/rnc.3393. Acesso em: 02 nov. 2024.
APA
Vargas, A. N., Acho, L., Pujol, G., Costa, E. F., Ishihara, J. Y., & Val, J. B. R. do. (2016). Output feedback of Markov jump linear systems with no mode observation: an automotive throttle application. International Journal of Robust and Nonlinear Control, 26( Ju 2016), 1980-1993. doi:10.1002/rnc.3393
NLM
Vargas AN, Acho L, Pujol G, Costa EF, Ishihara JY, Val JBR do. Output feedback of Markov jump linear systems with no mode observation: an automotive throttle application [Internet]. International Journal of Robust and Nonlinear Control. 2016 ; 26( Ju 2016): 1980-1993.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1002/rnc.3393
Vancouver
Vargas AN, Acho L, Pujol G, Costa EF, Ishihara JY, Val JBR do. Output feedback of Markov jump linear systems with no mode observation: an automotive throttle application [Internet]. International Journal of Robust and Nonlinear Control. 2016 ; 26( Ju 2016): 1980-1993.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1002/rnc.3393
Monografia/livro
Advances in the control of Markov jump linear systems with no mode observation (2016)
Vargas, Alessandro do Nascimento ; Costa, Eduardo Fontoura ; Val, João Bosco Ribeiro do
Unidade: ICMC
Subjects: SISTEMAS LINEARES, CADEIAS DE MARKOV, PROCESSOS ESTOCÁSTICOS
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ABNT
VARGAS, Alessandro do Nascimento e COSTA, Eduardo Fontoura e VAL, João Bosco Ribeiro do. Advances in the control of Markov jump linear systems with no mode observation. . Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-39835-8. Acesso em: 02 nov. 2024. , 2016
APA
Vargas, A. do N., Costa, E. F., & Val, J. B. R. do. (2016). Advances in the control of Markov jump linear systems with no mode observation. Cham: Springer. doi:10.1007/978-3-319-39835-8
NLM
Vargas A do N, Costa EF, Val JBR do. Advances in the control of Markov jump linear systems with no mode observation [Internet]. 2016 ;[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-319-39835-8
Vancouver
Vargas A do N, Costa EF, Val JBR do. Advances in the control of Markov jump linear systems with no mode observation [Internet]. 2016 ;[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-319-39835-8
Artigo de periodico
Gradient-based optimization techniques for the design of static controllers for Markov jump linear systems with unobservable modes (2015)
Vargas, Alessandro N; Bortolin, Daiane C; Costa, Eduardo Fontoura ; Val, João B. R. do
Source: International Journal of Numerical Modelling: Electronic Networks, Devices and Fields. Unidade: ICMC
Assunto: PROCESSOS ESTOCÁSTICOS
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ABNT
VARGAS, Alessandro N et al. Gradient-based optimization techniques for the design of static controllers for Markov jump linear systems with unobservable modes. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, v. 28, n. 3, p. 239-253, 2015Tradução . . Disponível em: https://doi.org/10.1002/jnm.1981. Acesso em: 02 nov. 2024.
APA
Vargas, A. N., Bortolin, D. C., Costa, E. F., & Val, J. B. R. do. (2015). Gradient-based optimization techniques for the design of static controllers for Markov jump linear systems with unobservable modes. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 28( 3), 239-253. doi:10.1002/jnm.1981
NLM
Vargas AN, Bortolin DC, Costa EF, Val JBR do. Gradient-based optimization techniques for the design of static controllers for Markov jump linear systems with unobservable modes [Internet]. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields. 2015 ; 28( 3): 239-253.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1002/jnm.1981
Vancouver
Vargas AN, Bortolin DC, Costa EF, Val JBR do. Gradient-based optimization techniques for the design of static controllers for Markov jump linear systems with unobservable modes [Internet]. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields. 2015 ; 28( 3): 239-253.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1002/jnm.1981
Artigo de periodico
On the control of Markov jump linear systems with no mode observation: application to a DC Motor device (2013)
Vargas, Alessandro N; Costa, Eduardo Fontoura ; Val, João B. R. do
Source: International Journal of Robust and Nonlinear Control. Unidade: ICMC
Assunto: PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VARGAS, Alessandro N e COSTA, Eduardo Fontoura e VAL, João B. R. do. On the control of Markov jump linear systems with no mode observation: application to a DC Motor device. International Journal of Robust and Nonlinear Control, v. 23, n. 10, p. 1136-1150, 2013Tradução . . Disponível em: https://doi.org/10.1002/rnc.2911. Acesso em: 02 nov. 2024.
APA
Vargas, A. N., Costa, E. F., & Val, J. B. R. do. (2013). On the control of Markov jump linear systems with no mode observation: application to a DC Motor device. International Journal of Robust and Nonlinear Control, 23( 10), 1136-1150. doi:10.1002/rnc.2911
NLM
Vargas AN, Costa EF, Val JBR do. On the control of Markov jump linear systems with no mode observation: application to a DC Motor device [Internet]. International Journal of Robust and Nonlinear Control. 2013 ; 23( 10): 1136-1150.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1002/rnc.2911
Vancouver
Vargas AN, Costa EF, Val JBR do. On the control of Markov jump linear systems with no mode observation: application to a DC Motor device [Internet]. International Journal of Robust and Nonlinear Control. 2013 ; 23( 10): 1136-1150.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1002/rnc.2911

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