Vinicius D. Mayrink, Ph.D.
Affiliations: | 2011 | Statistical Science | Duke University, Durham, NC |
Area:
Bioinformatics, StatisticsGoogle:
"Vinicius Mayrink"Parents
Sign in to add mentorJoseph E. Lucas | grad student | 2011 | Duke | |
(Factor Models to Describe Linear and Non-linear Structure in High Dimensional Gene Expression Data.) |
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Publications
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Mayrink VD, Gonçalves FB. (2020) Identifying atypically expressed chromosome regions using RNA-Seq data Statistical Methods and Applications. 29: 619-649 |
Mayrink VD, Panaro RV, Costa MA. (2020) Structural equation modeling with time dependence: an application comparing Brazilian energy distributors Asta Advances in Statistical Analysis. 1-31 |
Schneider S, Demarqui FN, Colosimo EA, et al. (2019) An approach to model clustered survival data with dependent censoring. Biometrical Journal. Biometrische Zeitschrift |
Duarte JDN, Mayrink VD. (2019) slfm: An R Package to Evaluate Coherent Patterns in Microarray Data via Factor Analysis Journal of Statistical Software. 90: 1-22 |
Costa MA, Mineti LB, Mayrink VD, et al. (2019) Bayesian detection of clusters in efficiency score maps: An application to Brazilian energy regulation Applied Mathematical Modelling. 68: 66-81 |
Barreto-Souza W, Mayrink VD. (2019) Semiparametric generalized exponential frailty model for clustered survival data Annals of the Institute of Statistical Mathematics. 71: 679-701 |
Almeida FM, Colosimo EA, Mayrink VD. (2018) Prior specifications to handle the monotone likelihood problem in the Cox regression model Statistics and Its Interface. 11: 687-698 |
Mayrink VD, Gonçalves FB. (2017) A Bayesian hidden Markov mixture model to detect overexpressed chromosome regions Journal of the Royal Statistical Society Series C-Applied Statistics. 66: 387-412 |
Gil GDR, Costa MA, Lopes ALM, et al. (2017) Spatial statistical methods applied to the 2015 Brazilian energy distribution benchmarking model: Accounting for unobserved determinants of inefficiencies Energy Economics. 64: 373-383 |
Mayrink VD, Lucas JE. (2015) Bayesian factor models for the detection of coherent patterns in gene expression data Brazilian Journal of Probability and Statistics. 29: 1-33 |