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Artigo de periodico
Structure recovery for partially observed discrete Markov random fields on graphs under not necessarily positive distributions (2024)
Leonardi, Florencia Graciela ; Carvalho, Rodrigo; Frondana, Iara
Source: Scandinavian Journal of Statistics. Unidade: IME
Subjects: PROBABILIDADE, ANÁLISE DE COVARIÂNCIA
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ABNT
LEONARDI, Florencia Graciela e CARVALHO, Rodrigo e FRONDANA, Iara. Structure recovery for partially observed discrete Markov random fields on graphs under not necessarily positive distributions. Scandinavian Journal of Statistics, v. 51, n. 1, p. 64-88, 2024Tradução . . Disponível em: https://doi.org/10.1111/sjos.12674. Acesso em: 07 jul. 2024.
APA
Leonardi, F. G., Carvalho, R., & Frondana, I. (2024). Structure recovery for partially observed discrete Markov random fields on graphs under not necessarily positive distributions. Scandinavian Journal of Statistics, 51( 1), 64-88. doi:10.1111/sjos.12674
NLM
Leonardi FG, Carvalho R, Frondana I. Structure recovery for partially observed discrete Markov random fields on graphs under not necessarily positive distributions [Internet]. Scandinavian Journal of Statistics. 2024 ; 51( 1): 64-88.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1111/sjos.12674
Vancouver
Leonardi FG, Carvalho R, Frondana I. Structure recovery for partially observed discrete Markov random fields on graphs under not necessarily positive distributions [Internet]. Scandinavian Journal of Statistics. 2024 ; 51( 1): 64-88.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1111/sjos.12674
Artigo de periodico
Population-based change-point detection for the identification of homozygosity islands (2023)
Prates, Lucas de Oliveira; Lemes, Renan Barbosa ; Hünemeier, Tábita ; Leonardi, Florencia Graciela
Source: Bioinformatics. Unidades: IB, IME
Assunto: BIOINFORMÁTICA
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ABNT
PRATES, Lucas de Oliveira et al. Population-based change-point detection for the identification of homozygosity islands. Bioinformatics, v. 39, n. 4, p. 1-8, 2023Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/btad170. Acesso em: 07 jul. 2024.
APA
Prates, L. de O., Lemes, R. B., Hünemeier, T., & Leonardi, F. G. (2023). Population-based change-point detection for the identification of homozygosity islands. Bioinformatics, 39( 4), 1-8. doi:10.1093/bioinformatics/btad170
NLM
Prates L de O, Lemes RB, Hünemeier T, Leonardi FG. Population-based change-point detection for the identification of homozygosity islands [Internet]. Bioinformatics. 2023 ; 39( 4): 1-8.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1093/bioinformatics/btad170
Vancouver
Prates L de O, Lemes RB, Hünemeier T, Leonardi FG. Population-based change-point detection for the identification of homozygosity islands [Internet]. Bioinformatics. 2023 ; 39( 4): 1-8.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1093/bioinformatics/btad170
Monografia/livro
Statistical model selection for stochastic systems with applications to bioinformatics, linguistics and neurobiology (2022)
Galves, Antonio ; Leonardi, Florencia Graciela ; Ost, Guilherme
Conference titles: Colóquio Brasileiro de Matemática. Unidade: IME
Assunto: ESTATÍSTICA APLICADA
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ABNT
GALVES, Antonio e LEONARDI, Florencia Graciela e OST, Guilherme. Statistical model selection for stochastic systems with applications to bioinformatics, linguistics and neurobiology. . Rio de Janeiro: Impa. Disponível em: https://impa.br/wp-content/uploads/2022/01/33CBM15-eBook.pdf. Acesso em: 07 jul. 2024. , 2022
APA
Galves, A., Leonardi, F. G., & Ost, G. (2022). Statistical model selection for stochastic systems with applications to bioinformatics, linguistics and neurobiology. Rio de Janeiro: Impa. Recuperado de https://impa.br/wp-content/uploads/2022/01/33CBM15-eBook.pdf
NLM
Galves A, Leonardi FG, Ost G. Statistical model selection for stochastic systems with applications to bioinformatics, linguistics and neurobiology [Internet]. 2022 ;[citado 2024 jul. 07 ] Available from: https://impa.br/wp-content/uploads/2022/01/33CBM15-eBook.pdf
Vancouver
Galves A, Leonardi FG, Ost G. Statistical model selection for stochastic systems with applications to bioinformatics, linguistics and neurobiology [Internet]. 2022 ;[citado 2024 jul. 07 ] Available from: https://impa.br/wp-content/uploads/2022/01/33CBM15-eBook.pdf
Artigo de periodico
A note on perfect simulation for Exponential Random Graph Models (2020)
Cerqueira, Andressa ; Garivier, Aurélien ; Leonardi, Florencia Graciela
Source: ESAIM: Probability and Statistics. Unidade: IME
Subjects: PASSEIOS ALEATÓRIOS, MECÂNICA ESTATÍSTICA, CADEIAS DE MARKOV
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ABNT
CERQUEIRA, Andressa e GARIVIER, Aurélien e LEONARDI, Florencia Graciela. A note on perfect simulation for Exponential Random Graph Models. ESAIM: Probability and Statistics, v. 24, p. 138-147, 2020Tradução . . Disponível em: https://doi.org/10.1051/ps/2019024. Acesso em: 07 jul. 2024.
APA
Cerqueira, A., Garivier, A., & Leonardi, F. G. (2020). A note on perfect simulation for Exponential Random Graph Models. ESAIM: Probability and Statistics, 24, 138-147. doi:10.1051/ps/2019024
NLM
Cerqueira A, Garivier A, Leonardi FG. A note on perfect simulation for Exponential Random Graph Models [Internet]. ESAIM: Probability and Statistics. 2020 ; 24 138-147.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1051/ps/2019024
Vancouver
Cerqueira A, Garivier A, Leonardi FG. A note on perfect simulation for Exponential Random Graph Models [Internet]. ESAIM: Probability and Statistics. 2020 ; 24 138-147.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1051/ps/2019024
Artigo de periodico
Estimation of the number of communities in the stochastic block model (2020)
Cerqueira, Andressa ; Leonardi, Florencia Graciela
Source: IEEE Transactions on Information Theory. Unidade: IME
Subjects: INFERÊNCIA BAYESIANA, PROCESSOS ESTOCÁSTICOS
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ABNT
CERQUEIRA, Andressa e LEONARDI, Florencia Graciela. Estimation of the number of communities in the stochastic block model. IEEE Transactions on Information Theory, v. 66, n. 10, p. 6403-6412, 2020Tradução . . Disponível em: https://doi.org/10.1109/TIT.2020.3016331. Acesso em: 07 jul. 2024.
APA
Cerqueira, A., & Leonardi, F. G. (2020). Estimation of the number of communities in the stochastic block model. IEEE Transactions on Information Theory, 66( 10), 6403-6412. doi:10.1109/TIT.2020.3016331
NLM
Cerqueira A, Leonardi FG. Estimation of the number of communities in the stochastic block model [Internet]. IEEE Transactions on Information Theory. 2020 ; 66( 10): 6403-6412.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1109/TIT.2020.3016331
Vancouver
Cerqueira A, Leonardi FG. Estimation of the number of communities in the stochastic block model [Internet]. IEEE Transactions on Information Theory. 2020 ; 66( 10): 6403-6412.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1109/TIT.2020.3016331
Artigo de periodico
A test of hypotheses for random graph distributions built from EEG data (2017)
Cerqueira, Andressa; Fraiman, Daniel; Vargas, Claudia D.; Leonardi, Florencia Graciela
Source: IEEE Transactions on Network Science and Engineering. Unidade: IME
Assunto: GRAFOS ALEATÓRIOS
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ABNT
CERQUEIRA, Andressa et al. A test of hypotheses for random graph distributions built from EEG data. IEEE Transactions on Network Science and Engineering, v. 4, n. 2, p. 75-82, 2017Tradução . . Disponível em: https://doi.org/10.1109/tnse.2017.2674026. Acesso em: 07 jul. 2024.
APA
Cerqueira, A., Fraiman, D., Vargas, C. D., & Leonardi, F. G. (2017). A test of hypotheses for random graph distributions built from EEG data. IEEE Transactions on Network Science and Engineering, 4( 2), 75-82. doi:10.1109/tnse.2017.2674026
NLM
Cerqueira A, Fraiman D, Vargas CD, Leonardi FG. A test of hypotheses for random graph distributions built from EEG data [Internet]. IEEE Transactions on Network Science and Engineering. 2017 ; 4( 2): 75-82.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1109/tnse.2017.2674026
Vancouver
Cerqueira A, Fraiman D, Vargas CD, Leonardi FG. A test of hypotheses for random graph distributions built from EEG data [Internet]. IEEE Transactions on Network Science and Engineering. 2017 ; 4( 2): 75-82.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1109/tnse.2017.2674026
Artigo de periodico
Testing statistical hypothesis on random trees and applications to the protein classification problem (2009)
Busch, Jorge R; Ferrari, Pablo Augusto ; Flesia, Ana Georgina ; Fraiman, Ricardo ; Grynberg, Sebastian P; Leonardi, Florencia
Source: The Annals of Applied Statistics. Unidade: IME
Subjects: BIOESTATÍSTICA, TESTES DE HIPÓTESES, GRAFOS ALEATÓRIOS
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ABNT
BUSCH, Jorge R et al. Testing statistical hypothesis on random trees and applications to the protein classification problem. The Annals of Applied Statistics, v. 3, n. 2, p. 542-563, 2009Tradução . . Disponível em: https://doi.org/10.1214/08-AOAS218. Acesso em: 07 jul. 2024.
APA
Busch, J. R., Ferrari, P. A., Flesia, A. G., Fraiman, R., Grynberg, S. P., & Leonardi, F. (2009). Testing statistical hypothesis on random trees and applications to the protein classification problem. The Annals of Applied Statistics, 3( 2), 542-563. doi:10.1214/08-AOAS218
NLM
Busch JR, Ferrari PA, Flesia AG, Fraiman R, Grynberg SP, Leonardi F. Testing statistical hypothesis on random trees and applications to the protein classification problem [Internet]. The Annals of Applied Statistics. 2009 ; 3( 2): 542-563.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1214/08-AOAS218
Vancouver
Busch JR, Ferrari PA, Flesia AG, Fraiman R, Grynberg SP, Leonardi F. Testing statistical hypothesis on random trees and applications to the protein classification problem [Internet]. The Annals of Applied Statistics. 2009 ; 3( 2): 542-563.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1214/08-AOAS218
Parte de monografia/livro
Exponential inequalities for empirical unbounded context trees (2008)
Galves, Antonio ; Leonardi, Florencia Graciela
Source: In and out of equilibrium 2. Unidade: IME
Assunto: ESTATÍSTICA DE PROCESSOS ESTOCÁSTICOS
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ABNT
GALVES, Antonio e LEONARDI, Florencia Graciela. Exponential inequalities for empirical unbounded context trees. In and out of equilibrium 2. Tradução . Basel: Birkhäuser, 2008. . Disponível em: https://doi-org.ez67.periodicos.capes.gov.br/10.1007/978-3-7643-8786-0_12. Acesso em: 07 jul. 2024.
APA
Galves, A., & Leonardi, F. G. (2008). Exponential inequalities for empirical unbounded context trees. In In and out of equilibrium 2. Basel: Birkhäuser. doi:10.1007/978-3-7643-8786-0_12
NLM
Galves A, Leonardi FG. Exponential inequalities for empirical unbounded context trees [Internet]. In: In and out of equilibrium 2. Basel: Birkhäuser; 2008. [citado 2024 jul. 07 ] Available from: https://doi-org.ez67.periodicos.capes.gov.br/10.1007/978-3-7643-8786-0_12
Vancouver
Galves A, Leonardi FG. Exponential inequalities for empirical unbounded context trees [Internet]. In: In and out of equilibrium 2. Basel: Birkhäuser; 2008. [citado 2024 jul. 07 ] Available from: https://doi-org.ez67.periodicos.capes.gov.br/10.1007/978-3-7643-8786-0_12
Artigo de periodico
Random perturbations of stochastic processes with unbounded variable length memory (2008)
Collet, Pierre; Galves, Antonio ; Leonardi, Florencia Graciela
Source: Electronic Journal of Probability. Unidade: IME
Assunto: PROCESSOS ESTOCÁSTICOS
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ABNT
COLLET, Pierre e GALVES, Antonio e LEONARDI, Florencia Graciela. Random perturbations of stochastic processes with unbounded variable length memory. Electronic Journal of Probability, v. 13, p. 1345-1361, 2008Tradução . . Disponível em: https://doi.org/10.1214/EJP.v13-538. Acesso em: 07 jul. 2024.
APA
Collet, P., Galves, A., & Leonardi, F. G. (2008). Random perturbations of stochastic processes with unbounded variable length memory. Electronic Journal of Probability, 13, 1345-1361. doi:10.1214/EJP.v13-538
NLM
Collet P, Galves A, Leonardi FG. Random perturbations of stochastic processes with unbounded variable length memory [Internet]. Electronic Journal of Probability. 2008 ; 13 1345-1361.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1214/EJP.v13-538
Vancouver
Collet P, Galves A, Leonardi FG. Random perturbations of stochastic processes with unbounded variable length memory [Internet]. Electronic Journal of Probability. 2008 ; 13 1345-1361.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1214/EJP.v13-538
Trabalho de evento
Sequence motif identification and protein family classification using probabilistic trees (2005)
Leonardi, Florencia Graciela ; Galves, Antonio
Source: Proceedings. Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidades: IME, BIOINFORMÁTICA
Subjects: PROBABILIDADE, BIOINFORMÁTICA
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ABNT
LEONARDI, Florencia Graciela e GALVES, Antonio. Sequence motif identification and protein family classification using probabilistic trees. 2005, Anais.. Berlin: Springer, 2005. Disponível em: https://doi.org/10.1007/11532323_20. Acesso em: 07 jul. 2024.
APA
Leonardi, F. G., & Galves, A. (2005). Sequence motif identification and protein family classification using probabilistic trees. In Proceedings. Berlin: Springer. doi:10.1007/11532323_20
NLM
Leonardi FG, Galves A. Sequence motif identification and protein family classification using probabilistic trees [Internet]. Proceedings. 2005 ;[citado 2024 jul. 07 ] Available from: https://doi.org/10.1007/11532323_20
Vancouver
Leonardi FG, Galves A. Sequence motif identification and protein family classification using probabilistic trees [Internet]. Proceedings. 2005 ;[citado 2024 jul. 07 ] Available from: https://doi.org/10.1007/11532323_20

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