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Trabalho de evento-resumo
Strongly consistent estimation of the number of components in multivariate Gaussian mixture models (2026)
Rodrigues, Anny K G ; Leonardi, Florencia Graciela
Conference titles: Latin American Congress of Probability and Mathematical Statistics - CLAPEM. Unidade: IME
Assunto: PROCESSOS GAUSSIANOS
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ABNT
RODRIGUES, Anny K G e LEONARDI, Florencia Graciela. Strongly consistent estimation of the number of components in multivariate Gaussian mixture models. 2026, Anais.. Montevideo: SLAPEM, 2026. Disponível em: https://drive.google.com/file/d/1cIVXmtIYxMQ_glpPcm-ZsZeIXPQYL8lH/view. Acesso em: 21 abr. 2026.
APA
Rodrigues, A. K. G., & Leonardi, F. G. (2026). Strongly consistent estimation of the number of components in multivariate Gaussian mixture models. In . Montevideo: SLAPEM. Recuperado de https://drive.google.com/file/d/1cIVXmtIYxMQ_glpPcm-ZsZeIXPQYL8lH/view
NLM
Rodrigues AKG, Leonardi FG. Strongly consistent estimation of the number of components in multivariate Gaussian mixture models [Internet]. 2026 ;[citado 2026 abr. 21 ] Available from: https://drive.google.com/file/d/1cIVXmtIYxMQ_glpPcm-ZsZeIXPQYL8lH/view
Vancouver
Rodrigues AKG, Leonardi FG. Strongly consistent estimation of the number of components in multivariate Gaussian mixture models [Internet]. 2026 ;[citado 2026 abr. 21 ] Available from: https://drive.google.com/file/d/1cIVXmtIYxMQ_glpPcm-ZsZeIXPQYL8lH/view
Trabalho de evento-anais periodico
Nonparametric FBST for validating linear models (2025)
Lassance, Rodrigo Ferrari Lucas ; Stern, Julio Michael ; Stern, Rafael Bassi
Source: Physical Sciences Forum. Conference titles: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. Unidade: IME
Subjects: MODELOS LINEARES GENERALIZADOS, PROCESSOS GAUSSIANOS, TESTES DE HIPÓTESES, INFERÊNCIA NÃO PARAMÉTRICA, INFERÊNCIA BAYESIANA
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LASSANCE, Rodrigo Ferrari Lucas e STERN, Julio Michael e STERN, Rafael Bassi. Nonparametric FBST for validating linear models. Physical Sciences Forum. Basel: MDPI. Disponível em: https://doi.org/10.3390/psf2025012002. Acesso em: 21 abr. 2026. , 2025
APA
Lassance, R. F. L., Stern, J. M., & Stern, R. B. (2025). Nonparametric FBST for validating linear models. Physical Sciences Forum. Basel: MDPI. doi:10.3390/psf2025012002
NLM
Lassance RFL, Stern JM, Stern RB. Nonparametric FBST for validating linear models [Internet]. Physical Sciences Forum. 2025 ; 12( 1): 1-10.[citado 2026 abr. 21 ] Available from: https://doi.org/10.3390/psf2025012002
Vancouver
Lassance RFL, Stern JM, Stern RB. Nonparametric FBST for validating linear models [Internet]. Physical Sciences Forum. 2025 ; 12( 1): 1-10.[citado 2026 abr. 21 ] Available from: https://doi.org/10.3390/psf2025012002
Artigo de periodico
An analytical approach for churn prediction: a study based on the gaussian AHP method (2025)
Duarte, Julia Lazarte; Costa, Igor Pinheiro de Araujo ; Fávero, Luiz Paulo Lopes; Santos, Marcos dos
Source: Procedia Computer Science. Conference titles: International Conference on Information Technology and Quantitative Management. Unidades: FEA, ESALQ, FEARP
Subjects: BANCOS, CRÉDITO, MODELOS MATEMÁTICOS, PROCESSOS GAUSSIANOS, TOMADA DE DECISÃO
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DUARTE, Julia Lazarte et al. An analytical approach for churn prediction: a study based on the gaussian AHP method. Procedia Computer Science, v. 226, p. 325-332, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.procs.2025.08.041. Acesso em: 21 abr. 2026.
APA
Duarte, J. L., Costa, I. P. de A., Fávero, L. P. L., & Santos, M. dos. (2025). An analytical approach for churn prediction: a study based on the gaussian AHP method. Procedia Computer Science, 226, 325-332. doi:10.1016/j.procs.2025.08.041
NLM
Duarte JL, Costa IP de A, Fávero LPL, Santos M dos. An analytical approach for churn prediction: a study based on the gaussian AHP method [Internet]. Procedia Computer Science. 2025 ; 226 325-332.[citado 2026 abr. 21 ] Available from: https://doi.org/10.1016/j.procs.2025.08.041
Vancouver
Duarte JL, Costa IP de A, Fávero LPL, Santos M dos. An analytical approach for churn prediction: a study based on the gaussian AHP method [Internet]. Procedia Computer Science. 2025 ; 226 325-332.[citado 2026 abr. 21 ] Available from: https://doi.org/10.1016/j.procs.2025.08.041
Artigo de periodico
Mean-field and fluctuations for hub dynamics in heterogeneous random networks (2025)
Bian, Zheng ; Lamb, Jeroen S. W ; Pereira, Tiago
Source: Communications in Mathematical Physics. Unidade: ICMC
Subjects: PROCESSOS GAUSSIANOS, ESTATÍSTICA APLICADA, SISTEMAS DINÂMICOS
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BIAN, Zheng e LAMB, Jeroen S. W e PEREIRA, Tiago. Mean-field and fluctuations for hub dynamics in heterogeneous random networks. Communications in Mathematical Physics, v. 406, p. 1-42, 2025Tradução . . Disponível em: https://doi.org/10.1007/s00220-025-05335-0. Acesso em: 21 abr. 2026.
APA
Bian, Z., Lamb, J. S. W., & Pereira, T. (2025). Mean-field and fluctuations for hub dynamics in heterogeneous random networks. Communications in Mathematical Physics, 406, 1-42. doi:10.1007/s00220-025-05335-0
NLM
Bian Z, Lamb JSW, Pereira T. Mean-field and fluctuations for hub dynamics in heterogeneous random networks [Internet]. Communications in Mathematical Physics. 2025 ; 406 1-42.[citado 2026 abr. 21 ] Available from: https://doi.org/10.1007/s00220-025-05335-0
Vancouver
Bian Z, Lamb JSW, Pereira T. Mean-field and fluctuations for hub dynamics in heterogeneous random networks [Internet]. Communications in Mathematical Physics. 2025 ; 406 1-42.[citado 2026 abr. 21 ] Available from: https://doi.org/10.1007/s00220-025-05335-0
Artigo de periodico
Non-constant imperfect maintenance effects in Inverse Gaussian degradation models for multiple repairable systems (2025)
Portela, Adriane Caroline Teixeira ; Morita, Lia Hanna Martins ; Tomazella, Vera Lucia Damasceno ; Toledo, Maria Luíza; Ferreira, Paulo Henrique ; Louzada, Francisco
Source: Reliability Engineering and System Safety. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Subjects: PROCESSOS GAUSSIANOS, VEROSSIMILHANÇA, SIMULAÇÃO
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PORTELA, Adriane Caroline Teixeira et al. Non-constant imperfect maintenance effects in Inverse Gaussian degradation models for multiple repairable systems. Reliability Engineering and System Safety, v. 264, p. 1-14, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.ress.2025.111349. Acesso em: 21 abr. 2026.
APA
Portela, A. C. T., Morita, L. H. M., Tomazella, V. L. D., Toledo, M. L., Ferreira, P. H., & Louzada, F. (2025). Non-constant imperfect maintenance effects in Inverse Gaussian degradation models for multiple repairable systems. Reliability Engineering and System Safety, 264, 1-14. doi:10.1016/j.ress.2025.111349
NLM
Portela ACT, Morita LHM, Tomazella VLD, Toledo ML, Ferreira PH, Louzada F. Non-constant imperfect maintenance effects in Inverse Gaussian degradation models for multiple repairable systems [Internet]. Reliability Engineering and System Safety. 2025 ; 264 1-14.[citado 2026 abr. 21 ] Available from: https://doi.org/10.1016/j.ress.2025.111349
Vancouver
Portela ACT, Morita LHM, Tomazella VLD, Toledo ML, Ferreira PH, Louzada F. Non-constant imperfect maintenance effects in Inverse Gaussian degradation models for multiple repairable systems [Internet]. Reliability Engineering and System Safety. 2025 ; 264 1-14.[citado 2026 abr. 21 ] Available from: https://doi.org/10.1016/j.ress.2025.111349
Trabalho de evento-anais periodico
Epistemic uncertainty in conformal scores: a unified approach (2025)
Cabezas, Luben Miguel Cruz ; Santos, Vagner Silva ; Ramos, Thiago Rodrigo ; Izbicki, Rafael
Source: Proceedings of Machine Learning Research : PMLR. Conference titles: Conference on Uncertainty in Artificial Intelligence - UAI. Unidade: Interinstitucional de Pós-Graduação em Estatística
Subjects: INFERÊNCIA NÃO PARAMÉTRICA, PROCESSOS GAUSSIANOS, MÉTODO DE MONTE CARLO
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CABEZAS, Luben Miguel Cruz et al. Epistemic uncertainty in conformal scores: a unified approach. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Disponível em: https://proceedings.mlr.press/v286/cruz-cabezas25a.html. Acesso em: 21 abr. 2026. , 2025
APA
Cabezas, L. M. C., Santos, V. S., Ramos, T. R., & Izbicki, R. (2025). Epistemic uncertainty in conformal scores: a unified approach. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Recuperado de https://proceedings.mlr.press/v286/cruz-cabezas25a.html
NLM
Cabezas LMC, Santos VS, Ramos TR, Izbicki R. Epistemic uncertainty in conformal scores: a unified approach [Internet]. Proceedings of Machine Learning Research : PMLR. 2025 ; 286 443-470.[citado 2026 abr. 21 ] Available from: https://proceedings.mlr.press/v286/cruz-cabezas25a.html
Vancouver
Cabezas LMC, Santos VS, Ramos TR, Izbicki R. Epistemic uncertainty in conformal scores: a unified approach [Internet]. Proceedings of Machine Learning Research : PMLR. 2025 ; 286 443-470.[citado 2026 abr. 21 ] Available from: https://proceedings.mlr.press/v286/cruz-cabezas25a.html
Trabalho de evento
From volume rendering to 3D Gaussian splatting: theory and applications (2025)
Matias, Vitor Pereira ; Perazzo, Daniel ; Silva, Vinicius; Raposo, Alberto ; Velho, Luiz ; Paiva, Afonso ; Novello, Tiago
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, RENDERIZAÇÃO, PROCESSOS GAUSSIANOS
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MATIAS, Vitor Pereira et al. From volume rendering to 3D Gaussian splatting: theory and applications. 2025, Anais.. Piscataway: IEEE, 2025. Disponível em: https://doi.org/10.1109/SIBGRAPI67909.2025.11223276. Acesso em: 21 abr. 2026.
APA
Matias, V. P., Perazzo, D., Silva, V., Raposo, A., Velho, L., Paiva, A., & Novello, T. (2025). From volume rendering to 3D Gaussian splatting: theory and applications. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI67909.2025.11223276
NLM
Matias VP, Perazzo D, Silva V, Raposo A, Velho L, Paiva A, Novello T. From volume rendering to 3D Gaussian splatting: theory and applications [Internet]. Proceedings. 2025 ;[citado 2026 abr. 21 ] Available from: https://doi.org/10.1109/SIBGRAPI67909.2025.11223276
Vancouver
Matias VP, Perazzo D, Silva V, Raposo A, Velho L, Paiva A, Novello T. From volume rendering to 3D Gaussian splatting: theory and applications [Internet]. Proceedings. 2025 ;[citado 2026 abr. 21 ] Available from: https://doi.org/10.1109/SIBGRAPI67909.2025.11223276
Artigo de periodico
Understanding smoothness of vector gaussian processes on product spaces (2024)
Porcu, Emilio ; Peron, Ana Paula ; Massa, Eugenio Tommaso ; Emery, Xavier
Source: Transactions on Machine Learning Research. Unidade: ICMC
Subjects: PROCESSOS GAUSSIANOS, APRENDIZADO COMPUTACIONAL
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PORCU, Emilio et al. Understanding smoothness of vector gaussian processes on product spaces. Transactions on Machine Learning Research, 2024Tradução . . Disponível em: https://openreview.net/pdf?id=WHAmxfLjeJ. Acesso em: 21 abr. 2026.
APA
Porcu, E., Peron, A. P., Massa, E. T., & Emery, X. (2024). Understanding smoothness of vector gaussian processes on product spaces. Transactions on Machine Learning Research. Recuperado de https://openreview.net/pdf?id=WHAmxfLjeJ
NLM
Porcu E, Peron AP, Massa ET, Emery X. Understanding smoothness of vector gaussian processes on product spaces [Internet]. Transactions on Machine Learning Research. 2024 ;[citado 2026 abr. 21 ] Available from: https://openreview.net/pdf?id=WHAmxfLjeJ
Vancouver
Porcu E, Peron AP, Massa ET, Emery X. Understanding smoothness of vector gaussian processes on product spaces [Internet]. Transactions on Machine Learning Research. 2024 ;[citado 2026 abr. 21 ] Available from: https://openreview.net/pdf?id=WHAmxfLjeJ
Artigo de periodico
A new test for detecting specification errors in Gaussian linear mixed-effects models (2024)
Angel, Jairo A.; Rocha, Francisco M.M.; Vélez, Jorge I.; Singer, Júlio da Motta
Source: AIMS Mathematics. Unidade: IME
Subjects: REGRESSÃO LINEAR, INFERÊNCIA PARAMÉTRICA, PROCESSOS GAUSSIANOS, SIMULAÇÃO (ESTATÍSTICA)
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ANGEL, Jairo A. et al. A new test for detecting specification errors in Gaussian linear mixed-effects models. AIMS Mathematics, v. 9, n. 11, p. 30710-30727, 2024Tradução . . Disponível em: https://doi.org/10.3934/math.20241483. Acesso em: 21 abr. 2026.
APA
Angel, J. A., Rocha, F. M. M., Vélez, J. I., & Singer, J. da M. (2024). A new test for detecting specification errors in Gaussian linear mixed-effects models. AIMS Mathematics, 9( 11), 30710-30727. doi:10.3934/math.20241483
NLM
Angel JA, Rocha FMM, Vélez JI, Singer J da M. A new test for detecting specification errors in Gaussian linear mixed-effects models [Internet]. AIMS Mathematics. 2024 ; 9( 11): 30710-30727.[citado 2026 abr. 21 ] Available from: https://doi.org/10.3934/math.20241483
Vancouver
Angel JA, Rocha FMM, Vélez JI, Singer J da M. A new test for detecting specification errors in Gaussian linear mixed-effects models [Internet]. AIMS Mathematics. 2024 ; 9( 11): 30710-30727.[citado 2026 abr. 21 ] Available from: https://doi.org/10.3934/math.20241483
Artigo de periodico
Comparing two spatial variables with the probability of agreement (2024)
Acosta, Jonathan ; Vallejos, Ronny ; Ellison, Aaron M ; Osorio, Felipe ; Castro, Mário de
Source: Biometrics. Unidade: ICMC
Subjects: PROCESSOS GAUSSIANOS, ESTATÍSTICA APLICADA
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ACOSTA, Jonathan et al. Comparing two spatial variables with the probability of agreement. Biometrics, v. 80, n. 1, p. 1-14, 2024Tradução . . Disponível em: https://doi.org/10.1093/biomtc/ujae009. Acesso em: 21 abr. 2026.
APA
Acosta, J., Vallejos, R., Ellison, A. M., Osorio, F., & Castro, M. de. (2024). Comparing two spatial variables with the probability of agreement. Biometrics, 80( 1), 1-14. doi:10.1093/biomtc/ujae009
NLM
Acosta J, Vallejos R, Ellison AM, Osorio F, Castro M de. Comparing two spatial variables with the probability of agreement [Internet]. Biometrics. 2024 ; 80( 1): 1-14.[citado 2026 abr. 21 ] Available from: https://doi.org/10.1093/biomtc/ujae009
Vancouver
Acosta J, Vallejos R, Ellison AM, Osorio F, Castro M de. Comparing two spatial variables with the probability of agreement [Internet]. Biometrics. 2024 ; 80( 1): 1-14.[citado 2026 abr. 21 ] Available from: https://doi.org/10.1093/biomtc/ujae009
Artigo de periodico
Asymptotics for some logistic maps and the renormalization group (2024)
Veiga, Paulo Faria da ; O Carroll, Michael
Source: Physica Scripta. Unidade: ICMC
Subjects: EXPANSÃO ASSINTÓTICA, PROCESSOS GAUSSIANOS, EQUAÇÕES DIFERENCIAIS
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VEIGA, Paulo Faria da e O CARROLL, Michael. Asymptotics for some logistic maps and the renormalization group. Physica Scripta, v. 99, p. 1-10, 2024Tradução . . Disponível em: https://doi.org/10.1088/1402-4896/ad693e. Acesso em: 21 abr. 2026.
APA
Veiga, P. F. da, & O Carroll, M. (2024). Asymptotics for some logistic maps and the renormalization group. Physica Scripta, 99, 1-10. doi:10.1088/1402-4896/ad693e
NLM
Veiga PF da, O Carroll M. Asymptotics for some logistic maps and the renormalization group [Internet]. Physica Scripta. 2024 ; 99 1-10.[citado 2026 abr. 21 ] Available from: https://doi.org/10.1088/1402-4896/ad693e
Vancouver
Veiga PF da, O Carroll M. Asymptotics for some logistic maps and the renormalization group [Internet]. Physica Scripta. 2024 ; 99 1-10.[citado 2026 abr. 21 ] Available from: https://doi.org/10.1088/1402-4896/ad693e
Artigo de periodico
Methodology for the estimation of an oil spill origin: analysis of the 2019 Brazilian coast oil spill (2023)
Sbragio, Ricardo ; Rodrigues Filho, Odilon; Martins, Marcelo Ramos
Source: Marine pollution bulletin. Unidade: EP
Subjects: PETRÓLEO, DESASTRES AMBIENTAIS, LITORAL, POLUIÇÃO DO MAR, KRIGAGEM, PROCESSOS GAUSSIANOS
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SBRAGIO, Ricardo e RODRIGUES FILHO, Odilon e MARTINS, Marcelo Ramos. Methodology for the estimation of an oil spill origin: analysis of the 2019 Brazilian coast oil spill. Marine pollution bulletin, v. 197, p. 1-17, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.marpolbul.2023.115676. Acesso em: 21 abr. 2026.
APA
Sbragio, R., Rodrigues Filho, O., & Martins, M. R. (2023). Methodology for the estimation of an oil spill origin: analysis of the 2019 Brazilian coast oil spill. Marine pollution bulletin, 197, 1-17. doi:10.1016/j.marpolbul.2023.115676
NLM
Sbragio R, Rodrigues Filho O, Martins MR. Methodology for the estimation of an oil spill origin: analysis of the 2019 Brazilian coast oil spill [Internet]. Marine pollution bulletin. 2023 ; 197 1-17.[citado 2026 abr. 21 ] Available from: https://doi.org/10.1016/j.marpolbul.2023.115676
Vancouver
Sbragio R, Rodrigues Filho O, Martins MR. Methodology for the estimation of an oil spill origin: analysis of the 2019 Brazilian coast oil spill [Internet]. Marine pollution bulletin. 2023 ; 197 1-17.[citado 2026 abr. 21 ] Available from: https://doi.org/10.1016/j.marpolbul.2023.115676
Trabalho de evento-resumo
Identifying nonlinear dynamics with high confidence from sparse data (2023)
Batko, Bogdan; Gameiro, Márcio Fuzeto ; Hung, Ying; Kalies, William; Mischaikow, Konstantin ; Vieira, Ewerton
Source: Abstracts. Conference titles: Americas Conference on Differential Equations and Nonlinear Analysis. Unidade: ICMC
Subjects: SISTEMAS DINÂMICOS, PROCESSOS GAUSSIANOS, INVARIANTES
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ABNT
BATKO, Bogdan et al. Identifying nonlinear dynamics with high confidence from sparse data. 2023, Anais.. São Carlos: ICMC-USP, 2023. Disponível em: http://summer.icmc.usp.br/summers/summer23/pg_abstract.php. Acesso em: 21 abr. 2026.
APA
Batko, B., Gameiro, M. F., Hung, Y., Kalies, W., Mischaikow, K., & Vieira, E. (2023). Identifying nonlinear dynamics with high confidence from sparse data. In Abstracts. São Carlos: ICMC-USP. Recuperado de http://summer.icmc.usp.br/summers/summer23/pg_abstract.php
NLM
Batko B, Gameiro MF, Hung Y, Kalies W, Mischaikow K, Vieira E. Identifying nonlinear dynamics with high confidence from sparse data [Internet]. Abstracts. 2023 ;[citado 2026 abr. 21 ] Available from: http://summer.icmc.usp.br/summers/summer23/pg_abstract.php
Vancouver
Batko B, Gameiro MF, Hung Y, Kalies W, Mischaikow K, Vieira E. Identifying nonlinear dynamics with high confidence from sparse data [Internet]. Abstracts. 2023 ;[citado 2026 abr. 21 ] Available from: http://summer.icmc.usp.br/summers/summer23/pg_abstract.php
Tese (Doutorado)
Bayesian Spatial Process Models for Activation Patterns in Transcranial Magnetic Stimulation Mapping (2023)
Egbon, Osafu Augustine ; Louzada, Francisco (Orientador)
Unidade: Interinstitucional de Pós-Graduação em Estatística
Subjects: CÓRTEX MOTOR, MAPEAMENTO CEREBRAL, PROCESSOS GAUSSIANOS, ESTATÍSTICAS ESPACIAIS
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ABNT
EGBON, Osafu Augustine. Bayesian Spatial Process Models for Activation Patterns in Transcranial Magnetic Stimulation Mapping. 2023. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2023. Disponível em: https://teses.usp.br/teses/disponiveis/104/104131/tde-12092023-191817/. Acesso em: 21 abr. 2026.
APA
Egbon, O. A. (2023). Bayesian Spatial Process Models for Activation Patterns in Transcranial Magnetic Stimulation Mapping (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://teses.usp.br/teses/disponiveis/104/104131/tde-12092023-191817/
NLM
Egbon OA. Bayesian Spatial Process Models for Activation Patterns in Transcranial Magnetic Stimulation Mapping [Internet]. 2023 ;[citado 2026 abr. 21 ] Available from: https://teses.usp.br/teses/disponiveis/104/104131/tde-12092023-191817/
Vancouver
Egbon OA. Bayesian Spatial Process Models for Activation Patterns in Transcranial Magnetic Stimulation Mapping [Internet]. 2023 ;[citado 2026 abr. 21 ] Available from: https://teses.usp.br/teses/disponiveis/104/104131/tde-12092023-191817/
Trabalho de evento
Data-efficient characterization of the global dynamics of robot controllers with confidence guarantees (2023)
Vieira, Ewerton R; Sivaramakrishnan, Aravind ; Song, Yao; Granados, Edgar; Gameiro, Márcio Fuzeto ; Mischaikow, Konstantin ; Hung, Ying ; Bekris, Kostas E
Source: Proceedings. Conference titles: IEEE International Conference on Robotics and Automation - ICRA. Unidade: ICMC
Subjects: TOPOLOGIA, ROBÔS, PROCESSOS GAUSSIANOS, APRENDIZADO COMPUTACIONAL
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ABNT
VIEIRA, Ewerton R et al. Data-efficient characterization of the global dynamics of robot controllers with confidence guarantees. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/ICRA48891.2023.10160428. Acesso em: 21 abr. 2026.
APA
Vieira, E. R., Sivaramakrishnan, A., Song, Y., Granados, E., Gameiro, M. F., Mischaikow, K., et al. (2023). Data-efficient characterization of the global dynamics of robot controllers with confidence guarantees. In Proceedings. Piscataway: IEEE. doi:10.1109/ICRA48891.2023.10160428
NLM
Vieira ER, Sivaramakrishnan A, Song Y, Granados E, Gameiro MF, Mischaikow K, Hung Y, Bekris KE. Data-efficient characterization of the global dynamics of robot controllers with confidence guarantees [Internet]. Proceedings. 2023 ;[citado 2026 abr. 21 ] Available from: https://doi.org/10.1109/ICRA48891.2023.10160428
Vancouver
Vieira ER, Sivaramakrishnan A, Song Y, Granados E, Gameiro MF, Mischaikow K, Hung Y, Bekris KE. Data-efficient characterization of the global dynamics of robot controllers with confidence guarantees [Internet]. Proceedings. 2023 ;[citado 2026 abr. 21 ] Available from: https://doi.org/10.1109/ICRA48891.2023.10160428
Artigo de periodico
Modeling epidemic growth curves using nonlinear rational polynomial equations: an application to Brazil s COVID-19 data (2022)
Oliveira, Ricardo Puziol de; Achcar, Jorge Alberto ; Bertoli, Wesley; Mazucheli, Josmar; Miranda, Yara Campos
Source: Revista Tecnologia e Sociedade. Unidade: FMRP
Subjects: DADOS DE CONTAGEM, COVID-19, PROCESSOS GAUSSIANOS, MODELOS NÃO LINEARES
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ABNT
OLIVEIRA, Ricardo Puziol de et al. Modeling epidemic growth curves using nonlinear rational polynomial equations: an application to Brazil s COVID-19 data. Revista Tecnologia e Sociedade, v. 18, n. 50, p. 35-47, 2022Tradução . . Disponível em: https://doi.org/10.3895/rts.v18n50.13534. Acesso em: 21 abr. 2026.
APA
Oliveira, R. P. de, Achcar, J. A., Bertoli, W., Mazucheli, J., & Miranda, Y. C. (2022). Modeling epidemic growth curves using nonlinear rational polynomial equations: an application to Brazil s COVID-19 data. Revista Tecnologia e Sociedade, 18( 50), 35-47. doi:10.3895/rts.v18n50.13534
NLM
Oliveira RP de, Achcar JA, Bertoli W, Mazucheli J, Miranda YC. Modeling epidemic growth curves using nonlinear rational polynomial equations: an application to Brazil s COVID-19 data [Internet]. Revista Tecnologia e Sociedade. 2022 ; 18( 50): 35-47.[citado 2026 abr. 21 ] Available from: https://doi.org/10.3895/rts.v18n50.13534
Vancouver
Oliveira RP de, Achcar JA, Bertoli W, Mazucheli J, Miranda YC. Modeling epidemic growth curves using nonlinear rational polynomial equations: an application to Brazil s COVID-19 data [Internet]. Revista Tecnologia e Sociedade. 2022 ; 18( 50): 35-47.[citado 2026 abr. 21 ] Available from: https://doi.org/10.3895/rts.v18n50.13534
Artigo de periodico
Spatial modelling of the joint burden of malaria and anaemia co-morbidity in children: a bayesian geoadditive perspective (2022)
Gayawan, Ezra ; Egbon, Osafu Augustine ; Adebayo, Samson B
Source: Communications in Statistics : case studies, data analysis and applications. Unidade: Interinstitucional de Pós-Graduação em Estatística
Subjects: INFERÊNCIA BAYESIANA, PROCESSOS GAUSSIANOS, MALÁRIA, ANEMIA, CRIANÇAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GAYAWAN, Ezra e EGBON, Osafu Augustine e ADEBAYO, Samson B. Spatial modelling of the joint burden of malaria and anaemia co-morbidity in children: a bayesian geoadditive perspective. Communications in Statistics : case studies, data analysis and applications, v. 8, n. 2, p. 264-281, 2022Tradução . . Disponível em: https://doi.org/10.1080/23737484.2022.2031345. Acesso em: 21 abr. 2026.
APA
Gayawan, E., Egbon, O. A., & Adebayo, S. B. (2022). Spatial modelling of the joint burden of malaria and anaemia co-morbidity in children: a bayesian geoadditive perspective. Communications in Statistics : case studies, data analysis and applications, 8( 2), 264-281. doi:10.1080/23737484.2022.2031345
NLM
Gayawan E, Egbon OA, Adebayo SB. Spatial modelling of the joint burden of malaria and anaemia co-morbidity in children: a bayesian geoadditive perspective [Internet]. Communications in Statistics : case studies, data analysis and applications. 2022 ; 8( 2): 264-281.[citado 2026 abr. 21 ] Available from: https://doi.org/10.1080/23737484.2022.2031345
Vancouver
Gayawan E, Egbon OA, Adebayo SB. Spatial modelling of the joint burden of malaria and anaemia co-morbidity in children: a bayesian geoadditive perspective [Internet]. Communications in Statistics : case studies, data analysis and applications. 2022 ; 8( 2): 264-281.[citado 2026 abr. 21 ] Available from: https://doi.org/10.1080/23737484.2022.2031345
Artigo de periodico
A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution (2022)
Vasconcelos, Julio Cezar Souza ; Cordeiro, Gauss Moutinho ; Ortega, Edwin Moises Marcos ; Silva, Giovana
Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: ANÁLISE DE DADOS, DISTRIBUIÇÕES (PROBABILIDADE), ESTUDOS RANDOMIZADOS, MODELOS MATEMÁTICOS, PROCESSOS GAUSSIANOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VASCONCELOS, Julio Cezar Souza et al. A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution. Journal of Applied Statistics, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.2024515. Acesso em: 21 abr. 2026.
APA
Vasconcelos, J. C. S., Cordeiro, G. M., Ortega, E. M. M., & Silva, G. (2022). A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution. Journal of Applied Statistics. doi:10.1080/02664763.2021.2024515
NLM
Vasconcelos JCS, Cordeiro GM, Ortega EMM, Silva G. A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution [Internet]. Journal of Applied Statistics. 2022 ;[citado 2026 abr. 21 ] Available from: https://doi.org/10.1080/02664763.2021.2024515
Vancouver
Vasconcelos JCS, Cordeiro GM, Ortega EMM, Silva G. A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution [Internet]. Journal of Applied Statistics. 2022 ;[citado 2026 abr. 21 ] Available from: https://doi.org/10.1080/02664763.2021.2024515
Artigo de periodico
Alpha skew Gaussian naïve Bayes classifier (2021)
Ara, Anderson ; Louzada, Francisco
Source: International Journal of Information Technology and Decision Making. Unidade: ICMC
Subjects: PROCESSOS GAUSSIANOS, ASSIMETRIA, ANÁLISE DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARA, Anderson e LOUZADA, Francisco. Alpha skew Gaussian naïve Bayes classifier. International Journal of Information Technology and Decision Making, v. 20, p. 1-22, 2021Tradução . . Disponível em: https://doi.org/10.1142/S0219622021500644. Acesso em: 21 abr. 2026.
APA
Ara, A., & Louzada, F. (2021). Alpha skew Gaussian naïve Bayes classifier. International Journal of Information Technology and Decision Making, 20, 1-22. doi:10.1142/S0219622021500644
NLM
Ara A, Louzada F. Alpha skew Gaussian naïve Bayes classifier [Internet]. International Journal of Information Technology and Decision Making. 2021 ; 20 1-22.[citado 2026 abr. 21 ] Available from: https://doi.org/10.1142/S0219622021500644
Vancouver
Ara A, Louzada F. Alpha skew Gaussian naïve Bayes classifier [Internet]. International Journal of Information Technology and Decision Making. 2021 ; 20 1-22.[citado 2026 abr. 21 ] Available from: https://doi.org/10.1142/S0219622021500644
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: 21 abr. 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 abr. 21 ] 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 abr. 21 ] Available from: https://doi.org/10.1002/asmb.2601

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