est.ufmg.brArtigos completos publicados ou aceitos em periódicos.
Research articles (published or accepted for publication).
(1) Mello-Silva JF, Ghosh SK and Mayrink VD. (2024) "Degree selection methods for curve estimation via Bernstein polynomials". Computational Statistics, online (link).
(2) Burbano-Moreno AA and Mayrink VD. (2024) "Spatial functional data analysis: irregular spacing and Bernstein polynomials". Spatial Statistics, 60, 100832. (link).
(3) Bessa AHFB, Ueta J, Mayrink VD and Oliveira REM. (2024) "Type 2 Diabetes at a Military Health Centre in Brazil: Clinical and Pharmacotherapeutic Profile". Clinical Diabetology, 1, 1, 60-66 (link).
(4) Almeida FM, Mayrink VD and Colosimo EA. (2023) "Bayesian solution to the monotone likelihood in the standard mixture cure model". Statistica Neerlandica, 77, 3, 365-390 (link).
(5) Almeida FM, Colosimo EA and Mayrink VD. (2022) "Modified score function for monotone likelihood in the semiparametric mixture cure model". Biometrical Journal, 64, 3, 635-654 (link).
(6) Barreto-Souza W, Mayrink VD and Simas AB. (2021) "Bessel regression and bbreg package to analyze bounded data". Australian and New Zealand Journal of Statistics, 63, 4, 685-706 (link and arXiv).
(7) Mayrink VD, Duarte JDN and Demarqui FN. (2021) "pexm: a JAGS module for applications involving the piecewise exponential distribution". Journal of Statistical Software, 100, 8, 1-28 (link and arXiv).
(8) Piancastelli LSC, Barreto-Souza W and Mayrink VD. (2021) "Generalized inverse-Gaussian frailty models with application to TARGET neuroblastoma data". Annals of the Institute of Statistical Mathematics, 73, 5, 979-1010 (link and arXiv).
(9) Mayrink VD, Panaro RV and Costa MA. (2021) "Structural equation modeling with time dependence: an application comparing Brazilian energy distributors". AStA Advances in Statistical Analysis, 105, 2, 353-383 (link).
(10) Ferreira MPS, Mayrink VD and Ribeiro ALP. (2021) "Generalized mixed spatio-temporal modeling: random effect via factor analysis with nonlinear interaction for cluster detection". Spatial Statistics, 43, 100515. (link).
(11) Almeida FM, Colosimo EA and Mayrink VD. (2021) "Firth score function for monotone likelihood in the mixture cure fraction model". Lifetime Data Analysis, 27, 1, 131-155 (link).
(12) Demarqui FN and Mayrink VD. (2021) "Yang and Prentice model with piecewise exponential baseline distribution for modeling lifetime data with crossing survival curves". Brazilian Journal of Probability and Statistics, 35, 1, 172-186 (link).
(13) Amorim EC and Mayrink VD. (2020) "Clustering non-linear interactions in factor analysis". METRON, 78, 329-352 (link).
(14) Mayrink VD and Gonçalves FB. (2020) "Identifying atypically expressed chromosome regions using RNA-Seq data". Statistical Methods and Applications, 29, 3, 619-649 (link).
(15) Schneider S, Demarqui FN, Colosimo EA and Mayrink VD. (2020) "An approach to model clustered survival data with dependent censoring". Biometrical Journal, 62, 1, 157-174 (link).
(16) Duarte JDN and Mayrink VD. (2019) "slfm: An R package to evaluate coherent patterns in microarray data via factor analysis". Journal of Statistical Software, 90, 9, 1-22 (link).
(17) Barreto-Souza W and Mayrink VD. (2019) "Semiparametric generalized exponential frailty model for clustered survival data". Annals of the Institute of Statistical Mathematics, 71, 3, 679-701 (link).
(18) Costa MA, Mineti LB, Mayrink VD and Lopes ALM. (2019) "Bayesian detection of clusters in efficiency score maps: an application to Brazilian energy regulation". Applied Mathematical Modelling, 68, 66-81 (link).
(19) Almeida FM, Colosimo EA and Mayrink VD. (2018) "Prior specifications to handle the monotone likelihood problem in the Cox regression model". Statistics and Its Interface, 11, 4, 687-698 (link).
(20) Martins PM, Mayrink VD, Silveira SA, Silveira CH, Lima LHF, Melo-Minardi RC (2018) "How to compute protein residue contacts more accurately?". Proceedings of the 33rd Annual ACM Symposium on Applied Computing - SAC'18, 60-68 (link).
(21) Gil GDR, Costa MA, Lopes ALM and Mayrink VD. (2017) "Spatial statistical methods applied to the 2015 Brazilian energy distribution benchmarking model: Accounting for unobserved determinants of inefficiencies." Energy Economics, 64, 373-383 (link).
(22) Mayrink VD and Gonçalves FB. (2017) "A Bayesian hidden Markov mixture model to detect overexpressed chromosome regions." Journal of the Royal Statistical Society - Series C, 66, 2, 387-412 (link and arXiv).
(23) Duarte JDN and Mayrink VD. (2015) "Factor Analysis with Mixture Modeling to Evaluate Coherent Patterns in Microarray Data." Interdisciplinary Bayesian Statistics EBEB 2014, Springer Proceedings in Mathematics & Statistics, 118, 185-195 (link).
(24) Mayrink VD and Lucas JE. (2015) "Bayesian Factor Models for the Detection of Coherent Patterns in Gene Expression Data." Brazilian Journal of Probability and Statistics, 29, 1, 1-33 (link and PDF).
(25) Mayrink VD and Lucas JE. (2013) "Sparse Latent Factor Models with Interactions: Analysis of Gene Expression Data." The Annals of Applied Statistics, 7, 2, 799-822 ( link and PDF).
(26) Loschi RH and Mayrink VD. (2013) "Reference Analysis in a Misclassification Model for the Meiosis I Non-disjunction Fraction in Trisomies." ISRN Genetics, doi:10.5402/2013/905156. (link).
(27) Mayrink VD and Gamerman D. (2009) "On Computational Aspects of Bayesian Spatial Models: Influence of the Neighboring Structure in the Efficiency of MCMC Algorithms." Computational Statistics, 24, 4, 641-669 (link).
(28) Loschi RH, Monteiro JV, Rocha GH and Mayrink VD. (2007) "Testing and estimating the non-disjunction fraction in Meiosis I using reference priors." Biometrical Journal, 49, 6, 824-839 (link).