Artigos Científicos

 

  1. TRAVASSOS; KEYLIANE; MATOS, LARISSA A.; SCHUMACHER, FERNANDA L. Diagnostic analysis in scale mixture of skew-normal linear mixed models. Statistica Neerlandica, v. 79, p. 1–23, 2025.

  2. SCHUMACHER, FERNANDA L.; MATOS, LARISSA A.; LACHOS, VICTOR H.; ABANTO-VALLE, CARLOS A.; CASTRO, LUIS M. A Censored Time Series Analysis for Responses on the Unit Interval: An Application to Acid Rain Modeling. Sankhya-Series A-Mathematical Statistics And Probability, v. 86, p. 637–660, 2024.

  3. VALERIANO, KATHERINE A. L.; SCHUMACHER, FERNANDA L.; GALARZA, CHRISTIAN E.; MATOS, LARISSA A. Censored autoregressive regression models with Student-t innovations. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, v. 52, p. 804-828, 2024.

  4. VALERIANO, KATHERINE A. L.; GALARZA, CHRISTIAN E.; MATOS, LARISSA A.; LACHOS, VICTOR H. Likelihood-based inference for the multivariate skew-t regression with censored or missing responses. JOURNAL OF MULTIVARIATE ANALYSIS, v. 196, p. 105174, 2023.

  5. ORDOÑEZ, JOSE A.; PRATES, MARCOS O.; MATOS, LARISSA A.; LACHOS, VICTOR H. Objective Bayesian analysis for spatial Student-t regression models. Journal of Spatial Science, v. -, p. 1-19, 2023.

  6. VALERIANO, KATHERINE A. L.; GALARZA, CHRISTIAN E.; MATOS, LARISSA A. Moments and random number generation for the truncated elliptical family of distributions. STATISTICS AND COMPUTING, v. 33, p. 32, 2023. .

  7. GALARZA, CHRISTIAN E.; MATOS, LARISSA A.; CASTRO, LUIS M.; LACHOS, VICTOR H. Moments of the doubly truncated selection elliptical distributions with emphasis on the unified multivariate skew-t distribution. Journal of Multivariate Analysis, v. 189, p. 104944, 2022.

  8. MATTOS, THALITA B.; LACHOS, VICTOR H.; CASTRO, LUIS M.; MATOS, LARISSA A. Extending multivariate Student’s-\(t\) semiparametric mixed models for longitudinal data with censored responses and heavy tails. STATISTICS IN MEDICINE, v. 41, p. 3696-3719, 2022.

  9. DE ALENCAR, FRANCISCO H. C.; MATOS, LARISSA A.; LACHOS, VICTOR H. Finite Mixture of Censored Linear Mixed Models for Irregularly Observed Longitudinal Data. JOURNAL OF CLASSIFICATION, v. 39, p. 463-486, 2022.

  10. GALARZA, CHRISTIAN E.; MATOS, LARISSA A.; LACHOS, VICTOR H. An EM algorithm for estimating the parameters of the multivariate skew-normal distribution with censored responses. Metron, v. 80, p. 231-253, 2022.

  11. GALARZA, CHRISTIAN E.; MATOS, LARISSA A.; DEY, DIPAK K.; LACHOS, VICTOR H. On Moments of Folded and Doubly Truncated Multivariate Extended Skew-Normal Distributions. Journal of Computational and Graphical Statistics, v. 31, p. 455-465, 2022.

  12. LEMUS, MARCELA N.; LACHOS, VICTOR H.; GALARZA, CHRISTIAN E.; MATOS, LARISSA A. Estimation and Diagnostics for Partially Censored Regression Models Based on Heavy-Tailed Distributions. Statistics and its Interface, v. 14, p. 165-182, 2021.

  13. OLIVARI, ROMMY C.; GARAY, ALDO M.; LACHOS, VICTOR H.; MATOS, LARISSA A. Mixed-Effects Models for Censored Data with Autoregressive Errors. Journal of Biopharmaceutical Statistics, v. 31, p. 273-294, 2021.

  14. SCHUMACHER, FERNANDA L.; LACHOS, VICTOR H.; MATOS, LARISSA A. Scale Mixture of Skew-Normal Linear Mixed Models with Within-Subject Serial Dependence . Statistics in Medicine, v. 40, p. 1790-1810, 2021.

  15. MATTOS, THALITA B.; MATOS, LARISSA A.; LACHOS, VICTOR H. A semiparametric mixed-effects model for censored longitudinal data. STATISTICAL METHODS IN MEDICAL RESEARCH, v. 30, p. 2582-2603, 2021.

  16. DE ALENCAR, FRANCISCO H.C.; GALARZA, CHRISTIAN E.; MATOS, LARISSA A.; LACHOS, VICTOR H. Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution. Advances in Data Analysis and Classification, v. 16, p. 521-557, 2021.

  17. VALERIANO, KATHERINE A. L.; LACHOS, VICTOR H.; PRATES, MARCOS O.; MATOS, LARISSA A. Likelihood Based Inference for Spatio-Temporal Data with Censored and Missing Responses. Environmetrics, v. 32, p. e2663, 2020.

  18. MATOS, LARISSA A.; LACHOS, VICTOR H.; LIN, TSUNG-I; CASTRO, LUIS M. Heavy-tailed longitudinal regression models for censored data: a robust parametric approach. TEST, v. 28, p. 844-878, 2019.

  19. MATOS, LARISSA A.; CASTRO, LUIS M. ; CABRAL, CELSO R. B.; LACHOS, VICTOR H. Multivariate measurement error models based on Student- distribution under censored responses. STATISTICS, v. 52, p. 1395-1416, 2018.

  20. LACHOS, VICTOR H.; MATOS, LARISSA A.; CASTRO, LUIS M.; CHEN, MING-HUI. Flexible Longitudinal Linear Mixed Models for Multiple Censored Responses Data. Statistics in Medicine, v. 38, p. 1074-1102, 2018.

  21. LACHOS, VICTOR H.; MATOS, LARISSA A.; BARBOSA, THAIS S.; GARAY, ALDO M.; DEY, DIPAK K. Influence diagnostics in spatial models with censored response. ENVIRONMETRICS, v. 28, p. e2464, 2017.

  22. MATOS, LARISSA A.; CASTRO, LUIS M.; LACHOS, VICTOR H. Censored mixed-effects models for irregularly observed repeated measures with applications to HIV viral loads. TEST, v. 25, p. 627-653, 2016.

  23. MATOS, LARISSA A.; BANDYOPADHYAY, DIPANKAR; CASTRO, LUIS M.; LACHOS, VICTOR H. Influence assessment in censored mixed-effects models using the multivariate Students-t. JOURNAL OF MULTIVARIATE ANALYSIS, v. 141, p. 104-117, 2015.

  24. MASSUIA, MONIQUE B.; CABRAL, CELSO R. B.; MATOS, LARISSA A.; LACHOS, VICTOR H. Influence diagnostics for Student- t censored linear regression models. STATISTICS, v. 49, p. 1074-1094, 2015.

  25. MATOS, LARISSA A.; PRATES, MARCOS O.; CHEN, MING-HUI; LACHOS, VICTOR H. Likelihood Based Inference Mixed-Effects Models with Censored Responses Using the Multivariate-t Distribution. Statistica Sinica, v. 23, p. 1323-1345, 2013.

  26. MATOS, LARISSA A.; LACHOS, VICTOR H.; BALAKRISHNAN, N.; LABRA, FILIDOR V. Influence diagnostics in linear and nonlinear mixed-effects models with censored data. Computational Statistics & Data Analysis (Print), v. 57, p. 450-464, 2013.

Capítulo de livro

 

  1. MATTOS, THALITA B.; MATOS, LARISSA A.; LACHOS, VICTOR H. Likelihood-based inference for mixed-effects models with censored response using skew-normal distribution. Innovations in Multivariate Statistical Modeling. 1ed.Switzerland: Springer, 2022, v. -, p. 23-43.

Relatórios Técnicos

 

  1. SCHUMACHER, FERNANDA L.; MATOS, LARISSA A.; CABRAL, CELSO R. B. (2021). Canonical fundamental skew-t linear mixed models. arXiv:2109.12152

  2. BARBOSA, T. S.; LACHOS, VICTOR H.; MATOS, LARISSA A.; PRATES, MARCOS O. (2016). Estimation in Spatial Models with Censored Response.

Programas de computador sem registro

 

  1. relliptical: The Truncated Elliptical Family of Distributions. (2021).

  2. RcppCensSpatial: Spatial Estimation and Prediction for Censored/Missing Responses. (2021).

  3. skewlmm: Scale Mixture of Skew-Normal Linear Mixed Models. (2020).

  4. OBASpatial: Objective Bayesian Analysis for Spatial Regression Models. (2020).

  5. CensMFM: Finite Mixture of Multivariate Censored/Missing Data. (2019).

  6. StempCens: Spatio-Temporal Estimation and Prediction for Censored/Missing Responses. (2019).

  7. PartCensReg: Partially Censored Regression Models Based on Heavy-Tailed Distributions. (2018).

  8. CensRegMod: Fits Normal and Student-t Censored Regression Model. (2015).

  9. tlmec: Linear Student-t Mixed-Effects Models with Censored Data. (2011).

Participação em eventos

 

  1. 25º SINAPE - Simpósio Nacional de Probabilidade e Estatística. Extending multivariate Student’s-t semiparametric mixed models for longitudinal data with censored responses and heavy tails (2024).  

  2. I Encontro do Laboratório de Regressão (2024).

  3. IV Congresso Brasileiro de Jovens Pesquisadores em Matemática Pura, Aplicada e Estatística (2022).

  4. 24º SINAPE - Simpósio Nacional de Probabilidade e Estatística. Tutorial: Modeling Longitudinal Data using Robust Mixed Models in R (2022).    

  5. 2022 ICSA Applied Statistics Symposium. Extending multivariate Student’s-t semiparametric mixed models for longitudinal data with censored responses and heavy tails (2022).  

  6. 8th Workshop on Probabilistic and Statistical Methods. A semiparametric mixed-effects model for censored longitudinal data (2020).  

  7. VI Workshop em Análise de Sobrevivência e Aplicações (WASA 2019). Longitudinal Models for Multiple Censored Responses Data (2019).  

  8. 3rd International Conference on Econometrics and Statistics (EcoSta 2019). Estimation for partially linear censored regression models based on heavy tailed distributions (2019).  

  9. 33rd New England Statistics Symposium (NESS). Flexible longitudinal linear mixed models for multiple censored responses data (2019).  

  10. XVI EMR - Escola de Modelos de Regressão (Brazilian School of Regression Models). Estimation and diagnostics for partially linear censored regression models based on heavy-tailed distributions (2019).  

  11. 23º SINAPE - Simpósio Nacional de Probabilidade e Estatística. Estimação e diagnóstico em modelos multivariados para dados censurados (2018).  

  12. 10th International Conference of the ERCIM WG on Computational and Methodological Statistics. Heavy-tailed longitudinal regression models for censored data: A likelihood based perspective (2017).  

  13. XV EMR - Escola de Modelos de Regressão (Brazilian School of Regression Models). Heavy-Tailed Longitudinal Linear Mixed Models for Multiple Censored Responses Data (2017).  

  14. CLATSE - CONGRESO LATINOAMERICANO DE SOCIEDADES DE ESTADÍSTICA. Heavy-Tailed Longitudinal Linear Mixed Models for Multiple Censored Responses Data (2016).  

  15. XIV EMR - Escola de Modelos de Regressão (Brazilian School of Regression Models). Censored mixed-effects models for irregularly observed repeated measures with applications to HIV viral loads (2015).

  16. 28th International Workshop on Statistical Modelling. Influence diagnostics in linear and nonlinear mixed-effects models with censored data using the multivariate-t distribution (2013).

  17. III Workshop em Análise de Sobrevivência e Aplicações (WASA-2013). Diagnostic Analysis of Censored HIV Viral Dynamics Load with Multivariate Student-t Distribution (2013).

  18. 20º SINAPE - Simpósio Nacional de Probabilidade e Estatística. Modelos Lineares e não Lineares de Efeito Misto para Respostas Censuradas usando as Distribuições Normal E Student-t Multivariada (2012).

  19. 27th International Workshop on Statistical Modelling. Likelihood based inference for linear and nonlinear mixed-effects models with censored response using the multivariate t distribution (2012).

  20. VII Encontro Científico dos Pós-Graduandos do IMECC. (2012).

  21. VI Encontro Científico dos Pós-Graduandos do IMECC. Diagnostics analysis in linear and non-linear mixed-effects models with censored data (2011).

  22. 14ª Escola de Séries Temporais e Econometria (2011).

Comissões

 

  1. Coordenadora da sessão intitulada Estatística e Aprendizado de Máquinas no IV Congresso Brasileiro de Jovens Pesquisadores em Matemática Pura, Aplicada e Estatística, realizado e sediado pelo Departamento de Matemática da Universidade Federal da Paraíba (DM-UFPB), em João Pessoa/PB, de 05 a 07 de outubro de 2022.

  2. Membro da Comissão Organizadora do 24o SINAPE | Simpósio Nacional de Probabilidade e Estatística, realizado 31 de julho a 5 de agosto de 2022, Hotel Serra Azul.

  3. Membro da Comissão Científica do XVI Encontro Científico de Pós-Graduandos do IMECC (Instituto de Matemática, Estatística e Computação Científica), realizado no período de 11 a 14 de Abril de 2022.

  4. Membro da Comissão Científica do XV Encontro Científico de Pós-Graduandos do IMECC (Instituto de Matemática, Estatística e Computação Científica), realizado no período de 23 a 26 de Novembro de 2020.