Programa de Pós-Graduação em Estatística

Produção Científica do Período de 2012 a 2025

Softwares sem registro de patente

Número total de items: 78

2025

  1. Jerolon, A.; DOMINGO-RELLOSO, A.; Kiihl, S.; TELLEZ-PLAZA, M. multimediate. 2025.
    [ Google | Google Scholar ]
  2. FELIX, C. H. T. N.; GARCIA, N. L.; SOUSA, A. R. S. Fuzzy & Randomized Confidence Intervals (FRCI) R package. 2025.
    [ Google | Google Scholar ]
  3. PERRONE, V. R.; SOUSA, A. R. S. FunctionalCalibration R package. 2025.
    [ Google | Google Scholar ]
  4. MATTA, D. H. ESTUDOS E PESQUISAS EM CIÊNCIA DO FOGO. 2025.
    [ Google | Google Scholar ]
  5. PRATES, M. O.; LACHOS, VICTOR H.; Dey D.,; MORALES, C. E. G.; VALERIANO, K. A. L.; ORDOÑEZ, JOSÉ A. . HeckmanEM. 2025.
    [ Google | Google Scholar ]
  6. LOPES, J. E. gkwreg: An R Package for Generalized Kumaraswamy Regression Models for Bounded Data. 2025.
    [ Google | Google Scholar ]
  7. LOPES, J. E. gkwdist: Generalized Kumaraswamy Distribution Family. 2025.
    [ Google | Google Scholar ]
  8. GUAMÁN, P. A. Z.; VALERIANO, K. A. L.; LIMA, L. R. SPDEcensSpatial: Censored and missing data in spatial statistics via Stochastic Partial Differential Equations (SPDE). 2025.
    [ Google | Google Scholar ]

2024

  1. FREITAS, J. V. B. SMMCSN (https://github.com/jvbfreitas/SMMCSN). 2024.
    [ Google | Google Scholar ]
  2. FREITAS, J. V. B. flexBP (https://github.com/jvbfreitas/flexBP). 2024.
    [ Google | Google Scholar ]

2023

  1. ORDOÑEZ, JOSÉ A.; LACHOS, VICTOR H.; MORALES, C. E. G. CensSpatial: Censored Spatial Models. 2023.
    [ Google | Google Scholar ]
  2. FREITAS, J. V. B. geeUG (https://github.com/jvbfreitas/geeUG). 2023.
    [ Google | Google Scholar ]
  3. FERNANDES, V. M. N. fwdH. 2023.
    [ Google | Google Scholar ]

2022

  1. SOUSA, A. R. S. waveaggreg R package. 2022.
    [ Google | Google Scholar ]
  2. VALERIANO, K. A. L.; ORDOÑEZ, JOSÉ A.; MORALES, C. E. G.; MATOS, L. A. RcppCensSpatial. 2022.
    [ Google | Google Scholar ]
  3. FREITAS, J. V. B. ASMCSN (https://github.com/jvbfreitas/ASMCSN). 2022.
    [ Google | Google Scholar ]
  4. FERNANDES, V. M. N. faturamento.sus. 2022.
    [ Google | Google Scholar ]

2021

  1. VALERIANO, K. A. L.; ORDONEZ, J. A.; MORALES, C. E. G.; MATOS, L. A. RcppCensSpatial: Spatial Estimation and Prediction for Censored/Missing Responses. 2021.
    [ Google | Google Scholar ]
  2. VALERIANO, K. A. L.; MATOS, L. A.; MORALES, C. E. G. relliptical: The Truncated Elliptical Family of Distributions. 2021.
    [ Google | Google Scholar ]
  3. TRUCÍOS, CARLOS R package Robpvc. 2021.
    [ Google | Google Scholar ]
  4. TRUCÍOS, CARLOS R package: HierPortfolios. 2021.
    [ Google | Google Scholar ]
  5. VALERIANO, K. A. L.; ORDONEZ, J. A.; GALARZA MORALES, CHRISTIAN EDUARDO; MATOS, LARISSA A. RcppCensSpatial: Spatial Estimation and Prediction for Censored/Missing Responses. 2021.
    [ Google | Google Scholar ]
  6. VALERIANO, K. A. L.; MATOS, LARISSA A.; GALARZA MORALES, CHRISTIAN EDUARDO relliptical: The Truncated Elliptical Family of Distributions. 2021.
    [ Google | Google Scholar ]
  7. Valeriano, Katherine A. L.; GALARZA MORALES, CHRISTIAN; MATOS, LARISSA A. relliptical: The Truncated Elliptical Family of Distributions. 2021.
    [ Google | Google Scholar ]
  8. Valeriano, Katherine A. L.; GALARZA MORALES, CHRISTIAN; MATOS, LARISSA A. RcppCensSpatial: Spatial Estimation and Prediction for Censored/Missing Responses. 2021.
    [ Google | Google Scholar ]
  9. FREITAS, J. V. B. geeBP (https://github.com/jvbfreitas/geeBP). 2021.
    [ Google | Google Scholar ]
  10. PRATES, MARCOS O; V. H. Lachos; Dey, Dipak K. HeckmanEM: Fit Normal or Student-t Heckman Selection Models. 2021.
    [ Google | Google Scholar ]

2020

  1. ORDONEZ, J. A.; PRATES, M. O.; MATOS, L. A.; LACHOS, V. H. OBASpatial: Objective Bayesian Analysis for Spatial Regression Models. 2020.
    [ Google | Google Scholar ]
  2. SCHUMACHER, F. L.; MATOS, L. A.; LACHOS, V. H. skewlmm: Scale Mixture of Skew-Normal Linear Mixed Models. 2020.
    [ Google | Google Scholar ]
  3. SOUSA, A. R. S.; VIDAKOVIC, B.; GARCIA, N. L. bayesShrink R package. 2020.
    [ Google | Google Scholar ]
  4. SOUSA, A. R. S.; LEONARDI, F.; SEVERINO, M.; SANTOS, R. R. splineSelection R package. 2020.
    [ Google | Google Scholar ]
  5. FREGUGLIA, V. mrf2d: Markov Random Field Models for Image Analysis. 2020.
    [ Google | Google Scholar ]
  6. SCHUMACHER, F. L.; MATOS, L. A.; LACHOS, V. H. skewlmm: Scale Mixture of Skew-Normal Linear Mixed Models. 2020.
    [ Google | Google Scholar ]
  7. ORDOÑEZ, JOSÉ A.; PRATES, M. O.; MATOS, L. A.; LACHOS, VICTOR H. OBASpatial: Objective Bayesian Analysis for Spatial Regression Models. 2020.
    [ Google | Google Scholar ]
  8. Valeriano, Katherine A. L.; LACHOS, VICTOR H.; MATOS, LARISSA A. StempCens: Spatio-Temporal Estimation and Prediction for Censored/Missing Responses. 2020.
    [ Google | Google Scholar ]
  9. ORDONEZ, J. A.; PRATES, MARCOS O; V. H. Lachos; MATOS, L. A. OBASpatial: Objective Bayesian Analysis for Spatial Regression Models. 2020.
    [ Google | Google Scholar ]
  10. AZEVEDO, D. R. M.; PRATES, MARCOS O; BANDYOPADHYAY, D. RASCO: An R Package to Alleviate Spatial Confounding. 2020.
    [ Google | Google Scholar ]

2019

  1. VALERIANO, K. A. L.; LACHOS, V. H.; MATOS, L. A. StempCens: Spatio-Temporal Estimation and Prediction for Censored/Missing Responses. 2019.
    [ Google | Google Scholar ]
  2. ALENCAR, F. H. C.; MORALES, C. E. G.; MATOS, L. A.; LACHOS, V. H. CensMFM: Finite Mixture of Multivariate Censored/Missing Data. 2019.
    [ Google | Google Scholar ]
  3. TRUCÍOS, CARLOS R package: RobGARCHBoot. 2019.
    [ Google | Google Scholar ]
  4. GALARZA MORALES, CHRISTIAN EDUARDO; KAN, R.; LACHOS DAVILA, VICTOR MomTrunc: Moments of Folded and Doubly Truncated Multivariate Distributions. 2019.
    [ Google | Google Scholar ]
  5. DE ALENCAR, FRANCISCO H. C.; GALARZA MORALES, CHRISTIAN EDUARDO; MATOS, LARISSA A.; LACHOS DAVILA, VICTOR CensMFM: Finite Mixture of Multivariate Censored/Missing Data. 2019.
    [ Google | Google Scholar ]
  6. FRANCO, G. Pacote em linguagem R: aggrmodel. 2019.
    [ Google | Google Scholar ]
  7. DE ALENCAR, FRANCISCO H. C.; MORALES, C. E. G.; MATOS, L. A.; DAVILA, V. H. L. CensMFM: Finite Mixture of Multivariate Censored/Missing Data. 2019.
    [ Google | Google Scholar ]
  8. AZEVEDO, D. R. M.; PRATES, MARCOS O TGMRF: Transformed Gaussian Markov Random Fields for Poisson regression. 2019.
    [ Google | Google Scholar ]
  9. AZEVEDO, D. R. M.; PRATES, MARCOS O; ASSUNCAO, R. M. FLAMES: Binary regression for Flexible Link function with AssyMptotES. 2019.
    [ Google | Google Scholar ]

2018

  1. KIIHL, S. F.; GARRIDO, M. J.; DOMINGO-RELLOSO, A.; TELLEZ-PLAZA, M. MLML2R. 2018.
    [ Google | Google Scholar ]
  2. LEMUS, M. N.; MORALES, C. E. G.; MATOS, L. A.; LACHOS, V. H. PartCensReg: Partially Censored Regression Models Based on Heavy-Tailed Distributions. 2018.
    [ Google | Google Scholar ]
  3. TRUCÍOS, CARLOS R package: RM2006. 2018.
    [ Google | Google Scholar ]
  4. NUÑEZ LEMUS, MARCELA; GALARZA MORALES, CHRISTIAN EDUARDO; MATOS, LARISSA A.; LACHOS DAVILA, VICTOR PartCensReg: Partially Censored Regression Models Based on Heavy-Tailed Distributions. 2018.
    [ Google | Google Scholar ]

2017

  1. Trucios Maza, C. C. R package: StatPerMeCo. 2017.
    [ Google | Google Scholar ]
  2. GALARZA MORALES, CHRISTIAN EDUARDO; PALMA OLATE, JONATHAN MATIAS Opportunistic: Routing Distribution, Broadcasts, Transmissions and Receptions in an Opportunistic Network. 2017.
    [ Google | Google Scholar ]

2016

  1. SANCHEZ, L. E. B.; ROCIO MAEHARA; DAVILA, V. H. L. FMsmsnReg: Regression Models with Finite Mixtures of Skew Heavy-Tailed Errors. 2016.
    [ Google | Google Scholar ]
  2. GALARZA, CHRISTIAN E.; OLATE, J. M. P. hopbyhop: Transmissions and Receptions in a Hop by Hop Network. 2016.
    [ Google | Google Scholar ]
  3. GALARZA, CHRISTIAN E.; SANCHEZ, L. B.; VICTOR H. LACHOS lqr: Robust Linear Quantile Regression. 2016.
    [ Google | Google Scholar ]
  4. SCHUMACHER, F.; VICTOR H. LACHOS; GALARZA, CHRISTIAN E. ArCensReg: Fitting Univariate Censored Linear Regression Model with Autoregressive Errors. 2016.
    [ Google | Google Scholar ]
  5. GALARZA MORALES, CHRISTIAN; OLATE, J. M. P. endtoend: Transmissions and Receptions in an End to End Network. 2016.
    [ Google | Google Scholar ]
  6. ORDONEZ, J. A.; GALARZA MORALES, CHRISTIAN; VICTOR H. LACHOS CensSpatial: Censored Spatial Models. 2016.
    [ Google | Google Scholar ]
  7. SCHUMACHER, F. L.; LACHOS, V. H.; GALARZA, C. E. ARCensReg: Fitting Univariate Censored Linear Regression Model with Autoregressive Errors. 2016.
    [ Google | Google Scholar ]
  8. LOPES, J. E. cvforecast. 2016.
    [ Google | Google Scholar ]

2015

  1. GALARZA, C.; Lachos, Victor. H. The Asymmetric Laplace Distribution. 2015.
    [ Google | Google Scholar ]
  2. GALARZA, C.; Lachos, V. H. Quantile Regression for Linear Mixed-Effects Models. 2015.
    [ Google | Google Scholar ]
  3. MASSUIA, M. B.; MATOS, L. A.; LACHOS, V. H. CensRegMod: Fits Normal and Student-t Censored Regression Model. 2015.
    [ Google | Google Scholar ]
  4. Rocío Paola Maehara; Luis Benites Sánchez bssn: Birnbaum-Saunders Model Based on Skew-Normal Distribution. 2015.
    [ Google | Google Scholar ]
  5. DAVILA, V. H. L.; Luis Benites CensMixReg: Censored Linear Mixture Regression Models. 2015.
    [ Google | Google Scholar ]
  6. ROCIO MAEHARA; SANCHEZ, L. E. B. bssn: Birnbaum-Saunders Model Based on Skew-Normal Distribution. 2015.
    [ Google | Google Scholar ]
  7. GALARZA, CHRISTIAN E.; VICTOR H. LACHOS qrLMM: Quantile Regression for Linear Mixed-Effects Models. 2015.
    [ Google | Google Scholar ]
  8. GALARZA, CHRISTIAN E.; VICTOR H. LACHOS qrNLMM: Quantile Regression for Nonlinear Mixed-Effects Models. 2015.
    [ Google | Google Scholar ]
  9. GALARZA, CHRISTIAN E.; VICTOR H. LACHOS ald: The Asymmetric Laplace Distribution. 2015.
    [ Google | Google Scholar ]
  10. SANCHEZ, L. B.; GALARZA MORALES, CHRISTIAN; VICTOR H. LACHOS ALDqr: Quantile Regression Using Asymmetric Laplace Distribution. 2015.
    [ Google | Google Scholar ]

2014

  1. Lachos, V. H.; Garay, A.W. Bayesian analysis of censored linear regression models with scale mixtures of normal (SMN) distributions. 2014.
    [ Google | Google Scholar ]

2013

  1. Garay, Aldo M.; Lachos, V. H. Fitting univariate non-linear scale mixture of skew-normal regression models. 2013.
    [ Google | Google Scholar ]
  2. Garay, Aldo M.; Lachos, V. H. Fitting univariate censored regression model under the scale mixture of normal distributions. 2013.
    [ Google | Google Scholar ]
  3. SANCHEZ, Luis B.; DAVILA, V. H. L. ALDqr: Quantile Regression Using Asymmetric Laplace Distribution . 2013.
    [ Google | Google Scholar ]

2012

  1. Dias, Ronaldo; Garcia, Nancy L.; Schmidt, A. Bayesian analysis for aggregated data. 2012.
    [ Google | Google Scholar ]
  2. ZAMBOM, A. Z. NonpModelCheck - R package. 2012.
    [ Google | Google Scholar ]
  3. PRATES, M. O.; COSTA, M. A.; Santos, M. A. C. RBHTrans. 2012.
    [ Google | Google Scholar ]
  4. GARAY, A. M.; PRATES, M. O.; Lachos, Víctor Hugo nlsmsn: Fitting nonlinear models with scale mixture of skew-normal distributions. 2012.
    [ Google | Google Scholar ]
Arquivo gerado a partir dos currículos Lattes dos pesquisadores. Data do processamento: 22/07/2026 16:51:28
Os resultados estão sujeitos a falhas devido a eventuais inconsistências no preenchimento dos currículos Lattes pelos pesquisadores. Caso note algum problema, por favor, contacte o responsável por esta página: coordpgest@ime.unicamp.br.