Filtros : "Leonardi, Florencia Graciela" Removido: "Brasil" Limpar

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  • Source: Scandinavian Journal of Statistics. Unidade: IME

    Subjects: PROBABILIDADE, ANÁLISE DE COVARIÂNCIA

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      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 ago. 2024.
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      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
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      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 ago. 07 ] Available from: https://doi.org/10.1111/sjos.12674
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      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 ago. 07 ] Available from: https://doi.org/10.1111/sjos.12674
  • Source: Bioinformatics. Unidades: IB, IME

    Assunto: BIOINFORMÁTICA

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      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 ago. 2024.
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      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
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      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 ago. 07 ] Available from: https://doi.org/10.1093/bioinformatics/btad170
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      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 ago. 07 ] Available from: https://doi.org/10.1093/bioinformatics/btad170
  • Conference titles: Latin American Congress of Probability and Mathematical Statistics - CLAPEM. Unidade: IME

    Subjects: INFERÊNCIA BAYESIANA, TEOREMAS LIMITES, GRAFOS ALEATÓRIOS, PROCESSOS ALEATÓRIOS, CONTROLE ESTOCÁSTICO

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      Advances in probability and mathematical statistics. . Cham: Birkhäuser. Disponível em: https://doi.org/10.1007/978-3-030-85325-9. Acesso em: 07 ago. 2024. , 2021
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      Advances in probability and mathematical statistics. (2021). Advances in probability and mathematical statistics. Cham: Birkhäuser. doi:10.1007/978-3-030-85325-9
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      Advances in probability and mathematical statistics [Internet]. 2021 ;[citado 2024 ago. 07 ] Available from: https://doi.org/10.1007/978-3-030-85325-9
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      Advances in probability and mathematical statistics [Internet]. 2021 ;[citado 2024 ago. 07 ] Available from: https://doi.org/10.1007/978-3-030-85325-9
  • Source: Journal of Time Series Analysis. Unidade: IME

    Assunto: ANÁLISE DE SÉRIES TEMPORAIS

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      LEONARDI, Florencia Graciela et al. Independent block identification in multivariate time series. Journal of Time Series Analysis, v. 42, n. 1, p. 19-33, 2021Tradução . . Disponível em: https://doi.org/10.1111/jtsa.12553. Acesso em: 07 ago. 2024.
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      Leonardi, F. G., Lopez-Rosenfeldz, M., Rodriguez, D., Severino, M. T. de F., & Sued, M. (2021). Independent block identification in multivariate time series. Journal of Time Series Analysis, 42( 1), 19-33. doi:10.1111/jtsa.12553
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      Leonardi FG, Lopez-Rosenfeldz M, Rodriguez D, Severino MT de F, Sued M. Independent block identification in multivariate time series [Internet]. Journal of Time Series Analysis. 2021 ; 42( 1): 19-33.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1111/jtsa.12553
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      Leonardi FG, Lopez-Rosenfeldz M, Rodriguez D, Severino MT de F, Sued M. Independent block identification in multivariate time series [Internet]. Journal of Time Series Analysis. 2021 ; 42( 1): 19-33.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1111/jtsa.12553
  • Source: ESAIM: Probability and Statistics. Unidade: IME

    Subjects: PASSEIOS ALEATÓRIOS, MECÂNICA ESTATÍSTICA, CADEIAS DE MARKOV

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      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 ago. 2024.
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      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
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      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 ago. 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 ago. 07 ] Available from: https://doi.org/10.1051/ps/2019024
  • Source: IEEE Transactions on Information Theory. Unidade: IME

    Subjects: INFERÊNCIA BAYESIANA, PROCESSOS ESTOCÁSTICOS

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      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 ago. 2024.
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      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
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      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 ago. 07 ] Available from: https://doi.org/10.1109/TIT.2020.3016331
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      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 ago. 07 ] Available from: https://doi.org/10.1109/TIT.2020.3016331
  • Source: Journal of Multivariate Analysis. Unidades: IB, IME

    Assunto: INFERÊNCIA NÃO PARAMÉTRICA

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      CASTRO, Bruno M. et al. A model selection approach for multiple sequence segmentation and dimensionality reduction. Journal of Multivariate Analysis, v. 167, p. 319-330, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.jmva.2018.05.006. Acesso em: 07 ago. 2024.
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      Castro, B. M., Lemes, R. B., César, J. E. da S., Hünemeier, T., & Leonardi, F. G. (2018). A model selection approach for multiple sequence segmentation and dimensionality reduction. Journal of Multivariate Analysis, 167, 319-330. doi:10.1016/j.jmva.2018.05.006
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      Castro BM, Lemes RB, César JE da S, Hünemeier T, Leonardi FG. A model selection approach for multiple sequence segmentation and dimensionality reduction [Internet]. Journal of Multivariate Analysis. 2018 ; 167 319-330.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1016/j.jmva.2018.05.006
    • Vancouver

      Castro BM, Lemes RB, César JE da S, Hünemeier T, Leonardi FG. A model selection approach for multiple sequence segmentation and dimensionality reduction [Internet]. Journal of Multivariate Analysis. 2018 ; 167 319-330.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1016/j.jmva.2018.05.006
  • Source: IEEE Transactions on Network Science and Engineering. Unidade: IME

    Assunto: GRAFOS ALEATÓRIOS

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      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 ago. 2024.
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      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
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      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 ago. 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 ago. 07 ] Available from: https://doi.org/10.1109/tnse.2017.2674026
  • Source: TEST. Unidade: IME

    Subjects: ESTATÍSTICA, ANÁLISE MULTIVARIADA

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      BÜHLMANN, Peter e LEONARDI, Florencia Graciela. Comments on: a random forest guided tour. TEST. Berlin: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s11749-016-0483-5. Acesso em: 07 ago. 2024. , 2016
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      Bühlmann, P., & Leonardi, F. G. (2016). Comments on: a random forest guided tour. TEST. Berlin: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/s11749-016-0483-5
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      Bühlmann P, Leonardi FG. Comments on: a random forest guided tour [Internet]. TEST. 2016 ; 25( 2): 239-246.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1007/s11749-016-0483-5
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      Bühlmann P, Leonardi FG. Comments on: a random forest guided tour [Internet]. TEST. 2016 ; 25( 2): 239-246.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1007/s11749-016-0483-5
  • Source: Electronic Journal of Statistics. Unidade: IME

    Subjects: ESTATÍSTICA DE PROCESSOS ESTOCÁSTICOS, INFERÊNCIA NÃO PARAMÉTRICA, CADEIAS DE MARKOV, PROCESSOS ESTACIONÁRIOS

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      GALLO, Sandro e LEONARDI, Florencia Graciela. Nonparametric statistical inference for the context tree of a stationary ergodic process. Electronic Journal of Statistics, v. 9, n. 2, p. 2076-2098, 2015Tradução . . Disponível em: https://doi.org/10.1214/15-EJS1065. Acesso em: 07 ago. 2024.
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      Gallo, S., & Leonardi, F. G. (2015). Nonparametric statistical inference for the context tree of a stationary ergodic process. Electronic Journal of Statistics, 9( 2), 2076-2098. doi:10.1214/15-EJS1065
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      Gallo S, Leonardi FG. Nonparametric statistical inference for the context tree of a stationary ergodic process [Internet]. Electronic Journal of Statistics. 2015 ; 9( 2): 2076-2098.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1214/15-EJS1065
    • Vancouver

      Gallo S, Leonardi FG. Nonparametric statistical inference for the context tree of a stationary ergodic process [Internet]. Electronic Journal of Statistics. 2015 ; 9( 2): 2076-2098.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1214/15-EJS1065
  • Source: Journal of Statistical Physics. Unidade: IME

    Subjects: ESTATÍSTICA, MECÂNICA ESTATÍSTICA, SISTEMAS DINÂMICOS (FÍSICA MATEMÁTICA)

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      ARMENDÁRIZ, Inés et al. Finite cycle Gibbs measures on permutations of Zd. Journal of Statistical Physics, v. 158, n. 6, p. 1213-1233, 2015Tradução . . Disponível em: https://doi.org/10.1007/s10955-014-1169-6. Acesso em: 07 ago. 2024.
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      Armendáriz, I., Ferrari, P. A., Groisman, P., & Leonardi, F. G. (2015). Finite cycle Gibbs measures on permutations of Zd. Journal of Statistical Physics, 158( 6), 1213-1233. doi:10.1007/s10955-014-1169-6
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      Armendáriz I, Ferrari PA, Groisman P, Leonardi FG. Finite cycle Gibbs measures on permutations of Zd [Internet]. Journal of Statistical Physics. 2015 ; 158( 6): 1213-1233.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1007/s10955-014-1169-6
    • Vancouver

      Armendáriz I, Ferrari PA, Groisman P, Leonardi FG. Finite cycle Gibbs measures on permutations of Zd [Internet]. Journal of Statistical Physics. 2015 ; 158( 6): 1213-1233.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1007/s10955-014-1169-6
  • Source: The Annals of Applied Probability. Unidade: IME

    Subjects: CADEIAS DE MARKOV, PROCESSOS DE MARKOV, ESTATÍSTICA DE PROCESSOS ESTOCÁSTICOS

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      COLLET, Pierre e LEONARDI, Florencia Graciela. Loss of memory of hidden Markov models and Lyapunov exponents. The Annals of Applied Probability, v. 24, n. 1, p. 422-446, 2014Tradução . . Disponível em: https://doi.org/10.1214/13-AAP929. Acesso em: 07 ago. 2024.
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      Collet, P., & Leonardi, F. G. (2014). Loss of memory of hidden Markov models and Lyapunov exponents. The Annals of Applied Probability, 24( 1), 422-446. doi:10.1214/13-AAP929
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      Collet P, Leonardi FG. Loss of memory of hidden Markov models and Lyapunov exponents [Internet]. The Annals of Applied Probability. 2014 ; 24( 1): 422-446.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1214/13-AAP929
    • Vancouver

      Collet P, Leonardi FG. Loss of memory of hidden Markov models and Lyapunov exponents [Internet]. The Annals of Applied Probability. 2014 ; 24( 1): 422-446.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1214/13-AAP929
  • Source: Annals of Applied Statistics. Unidade: IME

    Assunto: CADEIAS DE MARKOV

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      GALVES, Antonio et al. Context tree selection and linguistic rhythm retrieval from written texts. Annals of Applied Statistics, v. 6, n. 1, p. 189-209, 2012Tradução . . Disponível em: https://doi.org/10.1214/11-AOAS511. Acesso em: 07 ago. 2024.
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      Galves, A., Galves, C., Garcia, J. E., Garcia, N. L., & Leonardi, F. G. (2012). Context tree selection and linguistic rhythm retrieval from written texts. Annals of Applied Statistics, 6( 1), 189-209. doi:10.1214/11-AOAS511
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      Galves A, Galves C, Garcia JE, Garcia NL, Leonardi FG. Context tree selection and linguistic rhythm retrieval from written texts [Internet]. Annals of Applied Statistics. 2012 ; 6( 1): 189-209.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1214/11-AOAS511
    • Vancouver

      Galves A, Galves C, Garcia JE, Garcia NL, Leonardi FG. Context tree selection and linguistic rhythm retrieval from written texts [Internet]. Annals of Applied Statistics. 2012 ; 6( 1): 189-209.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1214/11-AOAS511
  • Source: Stochastic Processes and their Applications. Unidade: IME

    Assunto: PROCESSOS ESTOCÁSTICOS ESPECIAIS

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      GARIVIER, A e LEONARDI, Florencia Graciela. Context tree selection: a unifying view. Stochastic Processes and their Applications, v. 121, n. 11, p. 2488-2506, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.spa.2011.06.012. Acesso em: 07 ago. 2024.
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      Garivier, A., & Leonardi, F. G. (2011). Context tree selection: a unifying view. Stochastic Processes and their Applications, 121( 11), 2488-2506. doi:10.1016/j.spa.2011.06.012
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      Garivier A, Leonardi FG. Context tree selection: a unifying view [Internet]. Stochastic Processes and their Applications. 2011 ; 121( 11): 2488-2506.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1016/j.spa.2011.06.012
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      Garivier A, Leonardi FG. Context tree selection: a unifying view [Internet]. Stochastic Processes and their Applications. 2011 ; 121( 11): 2488-2506.[citado 2024 ago. 07 ] Available from: https://doi.org/10.1016/j.spa.2011.06.012
  • Source: In and out of equilibrium 2. Unidade: IME

    Assunto: ESTATÍSTICA DE PROCESSOS ESTOCÁSTICOS

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      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 ago. 2024.
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      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
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      Galves A, Leonardi FG. Exponential inequalities for empirical unbounded context trees [Internet]. In: In and out of equilibrium 2. Basel: Birkhäuser; 2008. [citado 2024 ago. 07 ] Available from: https://doi-org.ez67.periodicos.capes.gov.br/10.1007/978-3-7643-8786-0_12
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      Galves A, Leonardi FG. Exponential inequalities for empirical unbounded context trees [Internet]. In: In and out of equilibrium 2. Basel: Birkhäuser; 2008. [citado 2024 ago. 07 ] Available from: https://doi-org.ez67.periodicos.capes.gov.br/10.1007/978-3-7643-8786-0_12
  • Source: Electronic Journal of Probability. Unidade: IME

    Assunto: PROCESSOS ESTOCÁSTICOS

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      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 ago. 2024.
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      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
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      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 ago. 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 ago. 07 ] Available from: https://doi.org/10.1214/EJP.v13-538
  • Source: Methods of microarray data analysis V. Unidades: IME, ICB

    Subjects: PROBABILIDADE, COMPUTAÇÃO APLICADA, BIOINFORMÁTICA

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      BARRERA, Júnior et al. Constructing probabilistic genetic networks of plasmodium falciparum from dynamical expression signals of the intraerythrocytic development cycle. Methods of microarray data analysis V. Tradução . New York: Springer, 2007. . Disponível em: https://doi.org/10.1007/978-0-387-34569-7_2. Acesso em: 07 ago. 2024.
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      Barrera, J., César Júnior, R. M., Martins Júnior, D. C., Vêncio, R. Z. N., Merino, E. F., Yamamoto, M. M., et al. (2007). Constructing probabilistic genetic networks of plasmodium falciparum from dynamical expression signals of the intraerythrocytic development cycle. In Methods of microarray data analysis V. New York: Springer. doi:10.1007/978-0-387-34569-7_2
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      Barrera J, César Júnior RM, Martins Júnior DC, Vêncio RZN, Merino EF, Yamamoto MM, Leonardi FG, Pereira CA de B, Portillo HA del. Constructing probabilistic genetic networks of plasmodium falciparum from dynamical expression signals of the intraerythrocytic development cycle [Internet]. In: Methods of microarray data analysis V. New York: Springer; 2007. [citado 2024 ago. 07 ] Available from: https://doi.org/10.1007/978-0-387-34569-7_2
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      Barrera J, César Júnior RM, Martins Júnior DC, Vêncio RZN, Merino EF, Yamamoto MM, Leonardi FG, Pereira CA de B, Portillo HA del. Constructing probabilistic genetic networks of plasmodium falciparum from dynamical expression signals of the intraerythrocytic development cycle [Internet]. In: Methods of microarray data analysis V. New York: Springer; 2007. [citado 2024 ago. 07 ] Available from: https://doi.org/10.1007/978-0-387-34569-7_2
  • Source: Proceedings. Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidades: IME, BIOINFORMÁTICA

    Subjects: PROBABILIDADE, BIOINFORMÁTICA

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      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 ago. 2024.
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      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
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      Leonardi FG, Galves A. Sequence motif identification and protein family classification using probabilistic trees [Internet]. Proceedings. 2005 ;[citado 2024 ago. 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 ago. 07 ] Available from: https://doi.org/10.1007/11532323_20

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