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GALVES, Antonio et al. Clustering functional data sets by law. Stochastic Processes and their Applications, v. 192, n. artigo 104796, p. 1-13, 2026Tradução . . Disponível em: https://doi.org/10.1016/j.spa.2025.104796. Acesso em: 12 nov. 2025.
APA
Galves, A., Najman, F. A., Svarc, M., & Vargas, C. D. (2026). Clustering functional data sets by law. Stochastic Processes and their Applications, 192( artigo 104796), 1-13. doi:10.1016/j.spa.2025.104796
NLM
Galves A, Najman FA, Svarc M, Vargas CD. Clustering functional data sets by law [Internet]. Stochastic Processes and their Applications. 2026 ; 192( artigo 104796): 1-13.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.spa.2025.104796
Vancouver
Galves A, Najman FA, Svarc M, Vargas CD. Clustering functional data sets by law [Internet]. Stochastic Processes and their Applications. 2026 ; 192( artigo 104796): 1-13.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.spa.2025.104796
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LEONARDI, Florencia Graciela e SEVERINO, Magno Tairone de Freitas. Model selection for Markov random fields on graphs under a mixing condition. Stochastic Processes and their Applications, v. 180, n. artigo 104523, p. 1-12, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.spa.2024.104523. Acesso em: 12 nov. 2025.
APA
Leonardi, F. G., & Severino, M. T. de F. (2025). Model selection for Markov random fields on graphs under a mixing condition. Stochastic Processes and their Applications, 180( artigo 104523), 1-12. doi:10.1016/j.spa.2024.104523
NLM
Leonardi FG, Severino MT de F. Model selection for Markov random fields on graphs under a mixing condition [Internet]. Stochastic Processes and their Applications. 2025 ; 180( artigo 104523): 1-12.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.spa.2024.104523
Vancouver
Leonardi FG, Severino MT de F. Model selection for Markov random fields on graphs under a mixing condition [Internet]. Stochastic Processes and their Applications. 2025 ; 180( artigo 104523): 1-12.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.spa.2024.104523
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LASSANCE, Rodrigo Ferrari Lucas e IZBICKI, Rafael e STERN, Rafael Bassi. Adding imprecision to hypotheses: a Bayesian framework for testing practical significance in nonparametric settings. International Journal of Approximate Reasoning, v. 178, n. artigo 109332, p. 1-25, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2024.109332. Acesso em: 12 nov. 2025.
APA
Lassance, R. F. L., Izbicki, R., & Stern, R. B. (2025). Adding imprecision to hypotheses: a Bayesian framework for testing practical significance in nonparametric settings. International Journal of Approximate Reasoning, 178( artigo 109332), 1-25. doi:10.1016/j.ijar.2024.109332
NLM
Lassance RFL, Izbicki R, Stern RB. Adding imprecision to hypotheses: a Bayesian framework for testing practical significance in nonparametric settings [Internet]. International Journal of Approximate Reasoning. 2025 ; 178( artigo 109332): 1-25.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.ijar.2024.109332
Vancouver
Lassance RFL, Izbicki R, Stern RB. Adding imprecision to hypotheses: a Bayesian framework for testing practical significance in nonparametric settings [Internet]. International Journal of Approximate Reasoning. 2025 ; 178( artigo 109332): 1-25.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.ijar.2024.109332
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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: 12 nov. 2025.
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 2025 nov. 12 ] 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 2025 nov. 12 ] Available from: https://ijsrc.com/index.php/ijsrc/article/view/4/2
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RIBEIRO, Adèle Helena et al. From bites to bytes: understanding how and why individual malaria risk varies using artificial intelligence and causal inference. Frontiers in Genetics, v. 16, p. 6 , 2025Tradução . . Disponível em: https://doi.org/10.3389/fgene.2025.1599826. Acesso em: 12 nov. 2025.
APA
Ribeiro, A. H., Corder, R. M., Heider, D., Soler, J. M. P., & Ferreira, M. U. (2025). From bites to bytes: understanding how and why individual malaria risk varies using artificial intelligence and causal inference. Frontiers in Genetics, 16, 6 . doi:10.3389/fgene.2025.1599826
NLM
Ribeiro AH, Corder RM, Heider D, Soler JMP, Ferreira MU. From bites to bytes: understanding how and why individual malaria risk varies using artificial intelligence and causal inference [Internet]. Frontiers in Genetics. 2025 ; 16 6 .[citado 2025 nov. 12 ] Available from: https://doi.org/10.3389/fgene.2025.1599826
Vancouver
Ribeiro AH, Corder RM, Heider D, Soler JMP, Ferreira MU. From bites to bytes: understanding how and why individual malaria risk varies using artificial intelligence and causal inference [Internet]. Frontiers in Genetics. 2025 ; 16 6 .[citado 2025 nov. 12 ] Available from: https://doi.org/10.3389/fgene.2025.1599826
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CHEN, Yangyang e MORETTIN, Pedro Alberto e CHIANN, Chang. Time-varying spatio-temporal models by wavelets. Journal of Statistical Computation and Simulation, 2025Tradução . . Disponível em: https://doi.org/10.1080/00949655.2025.2535477. Acesso em: 12 nov. 2025.
APA
Chen, Y., Morettin, P. A., & Chiann, C. (2025). Time-varying spatio-temporal models by wavelets. Journal of Statistical Computation and Simulation. doi:10.1080/00949655.2025.2535477
NLM
Chen Y, Morettin PA, Chiann C. Time-varying spatio-temporal models by wavelets [Internet]. Journal of Statistical Computation and Simulation. 2025 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1080/00949655.2025.2535477
Vancouver
Chen Y, Morettin PA, Chiann C. Time-varying spatio-temporal models by wavelets [Internet]. Journal of Statistical Computation and Simulation. 2025 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1080/00949655.2025.2535477
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LOGACHOV, Artem e LOGACHOVA, Olga e YAMBARTSEV, Anatoli. Moderate, large and super large deviations principles for Poisson process with uniform catastrophes. Communications in Mathematics, v. 33, n. paper 8, p. 1-20, 2025Tradução . . Disponível em: https://doi.org/10.46298/cm.14900. Acesso em: 12 nov. 2025.
APA
Logachov, A., Logachova, O., & Yambartsev, A. (2025). Moderate, large and super large deviations principles for Poisson process with uniform catastrophes. Communications in Mathematics, 33( paper 8), 1-20. doi:10.46298/cm.14900
NLM
Logachov A, Logachova O, Yambartsev A. Moderate, large and super large deviations principles for Poisson process with uniform catastrophes [Internet]. Communications in Mathematics. 2025 ; 33( paper 8): 1-20.[citado 2025 nov. 12 ] Available from: https://doi.org/10.46298/cm.14900
Vancouver
Logachov A, Logachova O, Yambartsev A. Moderate, large and super large deviations principles for Poisson process with uniform catastrophes [Internet]. Communications in Mathematics. 2025 ; 33( paper 8): 1-20.[citado 2025 nov. 12 ] Available from: https://doi.org/10.46298/cm.14900
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ANDRÉ, Morgan e POUZAT, Christophe. A quasi-stationary approach to metastability in a system of spiking neurons with synaptic plasticity. Mathematical Neuroscience and Applications, v. 4, n. artigo 2, p. 1-31, 2025Tradução . . Disponível em: https://doi.org/10.46298/mna.7668. Acesso em: 12 nov. 2025.
APA
André, M., & Pouzat, C. (2025). A quasi-stationary approach to metastability in a system of spiking neurons with synaptic plasticity. Mathematical Neuroscience and Applications, 4( artigo 2), 1-31. doi:10.46298/mna.7668
NLM
André M, Pouzat C. A quasi-stationary approach to metastability in a system of spiking neurons with synaptic plasticity [Internet]. Mathematical Neuroscience and Applications. 2025 ; 4( artigo 2): 1-31.[citado 2025 nov. 12 ] Available from: https://doi.org/10.46298/mna.7668
Vancouver
André M, Pouzat C. A quasi-stationary approach to metastability in a system of spiking neurons with synaptic plasticity [Internet]. Mathematical Neuroscience and Applications. 2025 ; 4( artigo 2): 1-31.[citado 2025 nov. 12 ] Available from: https://doi.org/10.46298/mna.7668
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SALES, Lucas de Oliveira Ferreira de e ALENCAR, Airlane Pereira e HO, Linda Lee. A modified Shewhart control chart for monitoring the BerG-GARMA model. Journal of Statistical Computation and Simulation, v. 95, n. 9, p. 1993-2009, 2025Tradução . . Disponível em: https://doi.org/10.1080/00949655.2025.2477731. Acesso em: 12 nov. 2025.
APA
Sales, L. de O. F. de, Alencar, A. P., & Ho, L. L. (2025). A modified Shewhart control chart for monitoring the BerG-GARMA model. Journal of Statistical Computation and Simulation, 95( 9), 1993-2009. doi:10.1080/00949655.2025.2477731
NLM
Sales L de OF de, Alencar AP, Ho LL. A modified Shewhart control chart for monitoring the BerG-GARMA model [Internet]. Journal of Statistical Computation and Simulation. 2025 ; 95( 9): 1993-2009.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1080/00949655.2025.2477731
Vancouver
Sales L de OF de, Alencar AP, Ho LL. A modified Shewhart control chart for monitoring the BerG-GARMA model [Internet]. Journal of Statistical Computation and Simulation. 2025 ; 95( 9): 1993-2009.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1080/00949655.2025.2477731
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MAEHARA, Rocío et al. Birnbaum-Saunders distribution based on asymmetric heavy-tailed distributions, associated inference, and application. Mathematical Methods of Statistics, v. 34, p. 34-53, 2025Tradução . . Disponível em: https://doi.org/10.3103/S1066530723600355. Acesso em: 12 nov. 2025.
APA
Maehara, R., Bolfarine, H., Vilca, F., & Balakrishnan, N. (2025). Birnbaum-Saunders distribution based on asymmetric heavy-tailed distributions, associated inference, and application. Mathematical Methods of Statistics, 34, 34-53. doi:10.3103/S1066530723600355
NLM
Maehara R, Bolfarine H, Vilca F, Balakrishnan N. Birnbaum-Saunders distribution based on asymmetric heavy-tailed distributions, associated inference, and application [Internet]. Mathematical Methods of Statistics. 2025 ; 34 34-53.[citado 2025 nov. 12 ] Available from: https://doi.org/10.3103/S1066530723600355
Vancouver
Maehara R, Bolfarine H, Vilca F, Balakrishnan N. Birnbaum-Saunders distribution based on asymmetric heavy-tailed distributions, associated inference, and application [Internet]. Mathematical Methods of Statistics. 2025 ; 34 34-53.[citado 2025 nov. 12 ] Available from: https://doi.org/10.3103/S1066530723600355
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NALDI, Graziella D’ Agostino Ribeiro et al. CYP3A5 and POR gene polymorphisms as predictors of infection and graft rejection in post-liver transplant patients treated with tacrolimus - a cohort study. The Pharmacogenomics Journal, v. 25, n. 4; p. 1-9, 2025Tradução . . Disponível em: https://doi.org/10.1038/s41397-025-00363-4. Acesso em: 12 nov. 2025.
APA
Naldi, G. D. ’ A. R., Minari, A. B., Pereira, T. D. M., Fossaluza, V., Eugenio, N. W., Ferreira, M. A., et al. (2025). CYP3A5 and POR gene polymorphisms as predictors of infection and graft rejection in post-liver transplant patients treated with tacrolimus - a cohort study. The Pharmacogenomics Journal, 25( 4; p. 1-9). doi:10.1038/s41397-025-00363-4
NLM
Naldi GD’ AR, Minari AB, Pereira TDM, Fossaluza V, Eugenio NW, Ferreira MA, Gregório GH, Nacif LS, D Albuquerque LAC, Lazzaro Filho R di, Cançado ELR, Ono SK. CYP3A5 and POR gene polymorphisms as predictors of infection and graft rejection in post-liver transplant patients treated with tacrolimus - a cohort study [Internet]. The Pharmacogenomics Journal. 2025 ; 25( 4; p. 1-9):[citado 2025 nov. 12 ] Available from: https://doi.org/10.1038/s41397-025-00363-4
Vancouver
Naldi GD’ AR, Minari AB, Pereira TDM, Fossaluza V, Eugenio NW, Ferreira MA, Gregório GH, Nacif LS, D Albuquerque LAC, Lazzaro Filho R di, Cançado ELR, Ono SK. CYP3A5 and POR gene polymorphisms as predictors of infection and graft rejection in post-liver transplant patients treated with tacrolimus - a cohort study [Internet]. The Pharmacogenomics Journal. 2025 ; 25( 4; p. 1-9):[citado 2025 nov. 12 ] Available from: https://doi.org/10.1038/s41397-025-00363-4
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NAJMAN, Fernando Araujo et al. Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data. PLOS Computational Biology, 2025Tradução . . Disponível em: https://doi.org/10.1371/journal.pcbi.1012765. Acesso em: 12 nov. 2025.
APA
Najman, F. A., Galves, A., Svarc, M., & Vargas, C. D. (2025). Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data. PLOS Computational Biology. doi:10.1371/journal.pcbi.1012765
NLM
Najman FA, Galves A, Svarc M, Vargas CD. Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data [Internet]. PLOS Computational Biology. 2025 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1371/journal.pcbi.1012765
Vancouver
Najman FA, Galves A, Svarc M, Vargas CD. Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data [Internet]. PLOS Computational Biology. 2025 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1371/journal.pcbi.1012765
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CABEZAS, Luben Miguel Cruz et al. Regression trees for fast and adaptive prediction intervals. Information Sciences, v. 686, n. artigo 121369, p. 1-31, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2024.121369. Acesso em: 12 nov. 2025.
APA
Cabezas, L. M. C., Otto, M. P., Izbicki, R., & Stern, R. B. (2025). Regression trees for fast and adaptive prediction intervals. Information Sciences, 686( artigo 121369), 1-31. doi:10.1016/j.ins.2024.121369
NLM
Cabezas LMC, Otto MP, Izbicki R, Stern RB. Regression trees for fast and adaptive prediction intervals [Internet]. Information Sciences. 2025 ; 686( artigo 121369): 1-31.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.ins.2024.121369
Vancouver
Cabezas LMC, Otto MP, Izbicki R, Stern RB. Regression trees for fast and adaptive prediction intervals [Internet]. Information Sciences. 2025 ; 686( artigo 121369): 1-31.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.ins.2024.121369
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IZBICKI, Rafael et al. REACT to NHST: sensible conclusions for meaningful hypotheses. Quantitative Methods for Psychology, v. 21, n. 2, p. 43-68, 2025Tradução . . Disponível em: https://doi.org/10.20982/tqmp.21.2.p043. Acesso em: 12 nov. 2025.
APA
Izbicki, R., Cabezas, L. M. C., Colugnati, F., Lassance, R. F. L., Souza, A. A. L. de, & Stern, R. B. (2025). REACT to NHST: sensible conclusions for meaningful hypotheses. Quantitative Methods for Psychology, 21( 2), 43-68. doi:10.20982/tqmp.21.2.p043
NLM
Izbicki R, Cabezas LMC, Colugnati F, Lassance RFL, Souza AAL de, Stern RB. REACT to NHST: sensible conclusions for meaningful hypotheses [Internet]. Quantitative Methods for Psychology. 2025 ; 21( 2): 43-68.[citado 2025 nov. 12 ] Available from: https://doi.org/10.20982/tqmp.21.2.p043
Vancouver
Izbicki R, Cabezas LMC, Colugnati F, Lassance RFL, Souza AAL de, Stern RB. REACT to NHST: sensible conclusions for meaningful hypotheses [Internet]. Quantitative Methods for Psychology. 2025 ; 21( 2): 43-68.[citado 2025 nov. 12 ] Available from: https://doi.org/10.20982/tqmp.21.2.p043
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BOENTE, Graciela et al. Threshold detection under a semiparametric regression model. Annals of the Institute of Statistical Mathematics, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10463-025-00958-5. Acesso em: 12 nov. 2025.
APA
Boente, G., Leonardi, F. G., Rodriguez, D., & Sued, M. (2025). Threshold detection under a semiparametric regression model. Annals of the Institute of Statistical Mathematics. doi:10.1007/s10463-025-00958-5
NLM
Boente G, Leonardi FG, Rodriguez D, Sued M. Threshold detection under a semiparametric regression model [Internet]. Annals of the Institute of Statistical Mathematics. 2025 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1007/s10463-025-00958-5
Vancouver
Boente G, Leonardi FG, Rodriguez D, Sued M. Threshold detection under a semiparametric regression model [Internet]. Annals of the Institute of Statistical Mathematics. 2025 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1007/s10463-025-00958-5
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NGOC, Ngo Phuoc Nguyen e BELITSKY, Vladimir e SCHÜTZ, Gunter M. An exactly solvable model for RNA polymerase during the elongation stage. Physical Biology, v. 22, n. artigo 016001, p. 1-19, 2025Tradução . . Disponível em: https://doi.org/10.1088/1478-3975/ad899e. Acesso em: 12 nov. 2025.
APA
Ngoc, N. P. N., Belitsky, V., & Schütz, G. M. (2025). An exactly solvable model for RNA polymerase during the elongation stage. Physical Biology, 22( artigo 016001), 1-19. doi:10.1088/1478-3975/ad899e
NLM
Ngoc NPN, Belitsky V, Schütz GM. An exactly solvable model for RNA polymerase during the elongation stage [Internet]. Physical Biology. 2025 ; 22( artigo 016001): 1-19.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1088/1478-3975/ad899e
Vancouver
Ngoc NPN, Belitsky V, Schütz GM. An exactly solvable model for RNA polymerase during the elongation stage [Internet]. Physical Biology. 2025 ; 22( artigo 016001): 1-19.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1088/1478-3975/ad899e
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LOGACHOV, Artem e YAMBARTSEV, Anatoli. The law of the iterated logarithm for functionals of the Wiener process. Statistics & Probability Letters, v. 219, n. artigo 110341, p. 1-4, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.spl.2024.110341. Acesso em: 12 nov. 2025.
APA
Logachov, A., & Yambartsev, A. (2025). The law of the iterated logarithm for functionals of the Wiener process. Statistics & Probability Letters, 219( artigo 110341), 1-4. doi:10.1016/j.spl.2024.110341
NLM
Logachov A, Yambartsev A. The law of the iterated logarithm for functionals of the Wiener process [Internet]. Statistics & Probability Letters. 2025 ; 219( artigo 110341): 1-4.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.spl.2024.110341
Vancouver
Logachov A, Yambartsev A. The law of the iterated logarithm for functionals of the Wiener process [Internet]. Statistics & Probability Letters. 2025 ; 219( artigo 110341): 1-4.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.spl.2024.110341
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JUNIOR, Valdivino V. e MACHADO, Fábio Prates e ROLDÁN-CORREA, Alejandro. Uniform dispersion in growth models on homogeneous trees. Latin American Journal of Probability and Mathematical Statistics, v. 22, p. 607-626, 2025Tradução . . Disponível em: https://doi.org/10.30757/ALEA.v22-23. Acesso em: 12 nov. 2025.
APA
Junior, V. V., Machado, F. P., & Roldán-Correa, A. (2025). Uniform dispersion in growth models on homogeneous trees. Latin American Journal of Probability and Mathematical Statistics, 22, 607-626. doi:10.30757/ALEA.v22-23
NLM
Junior VV, Machado FP, Roldán-Correa A. Uniform dispersion in growth models on homogeneous trees [Internet]. Latin American Journal of Probability and Mathematical Statistics. 2025 ; 22 607-626.[citado 2025 nov. 12 ] Available from: https://doi.org/10.30757/ALEA.v22-23
Vancouver
Junior VV, Machado FP, Roldán-Correa A. Uniform dispersion in growth models on homogeneous trees [Internet]. Latin American Journal of Probability and Mathematical Statistics. 2025 ; 22 607-626.[citado 2025 nov. 12 ] Available from: https://doi.org/10.30757/ALEA.v22-23
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PRETE JUNIOR, Carlos Augusto et al. How Duffy blood group ( FY ) polymorphism and age modulate vivax malaria risk at the community level: a population-based retrospective cohort study in the Amazon. The Journal of Infectious Diseases, 2025Tradução . . Disponível em: https://doi.org/10.1093/infdis/jiaf562. Acesso em: 12 nov. 2025.
APA
Prete Junior, C. A., Sousa, T. N. de, Naziazeno, I. M., Puça, M. C. S. de B., Ladeia, W. A., Rodrigues, P. T., et al. (2025). How Duffy blood group ( FY ) polymorphism and age modulate vivax malaria risk at the community level: a population-based retrospective cohort study in the Amazon. The Journal of Infectious Diseases. doi:10.1093/infdis/jiaf562
NLM
Prete Junior CA, Sousa TN de, Naziazeno IM, Puça MCS de B, Ladeia WA, Rodrigues PT, Johansen IC, Paula GA, Ferreira MU, Corder RM, Mâncio Lima Cohort Study Working Group. How Duffy blood group ( FY ) polymorphism and age modulate vivax malaria risk at the community level: a population-based retrospective cohort study in the Amazon [Internet]. The Journal of Infectious Diseases. 2025 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1093/infdis/jiaf562
Vancouver
Prete Junior CA, Sousa TN de, Naziazeno IM, Puça MCS de B, Ladeia WA, Rodrigues PT, Johansen IC, Paula GA, Ferreira MU, Corder RM, Mâncio Lima Cohort Study Working Group. How Duffy blood group ( FY ) polymorphism and age modulate vivax malaria risk at the community level: a population-based retrospective cohort study in the Amazon [Internet]. The Journal of Infectious Diseases. 2025 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1093/infdis/jiaf562
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GRIVOL, Gustavo et al. Flexible conditional density estimation for time series. Brazilian Journal of Probability and Statistics, v. 38, n. 2, p. 215-231, 2024Tradução . . Disponível em: https://doi.org/10.1214/24-BJPS601. Acesso em: 12 nov. 2025.
APA
Grivol, G., Izbicki, R., Okuno, A. A., & Stern, R. B. (2024). Flexible conditional density estimation for time series. Brazilian Journal of Probability and Statistics, 38( 2), 215-231. doi:10.1214/24-BJPS601
NLM
Grivol G, Izbicki R, Okuno AA, Stern RB. Flexible conditional density estimation for time series [Internet]. Brazilian Journal of Probability and Statistics. 2024 ; 38( 2): 215-231.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/24-BJPS601
Vancouver
Grivol G, Izbicki R, Okuno AA, Stern RB. Flexible conditional density estimation for time series [Internet]. Brazilian Journal of Probability and Statistics. 2024 ; 38( 2): 215-231.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1214/24-BJPS601