Roberto Vila Gabriel

Adjunct Professor

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 ·        PhD in Mathematics (2016) and Master in Mathematics (2013) from the University of Brasilia (UnB/Brazil), and Bachelor of Science in Mathematics (2011) from the National University of Trujillo (UNT/Peru).

 ·        Full-time adjunct professor at the Department of Statistics, University of Brasília/UnB (Brazil), and member of the Graduate Program in Statistics (UnB/Brazil).

·        Primary research areas in stochastic processes, mechanical statistics, and percolation theory.

·        My ORCID

·        Lattes (CV in Portuguese)

 

Selected Papers (2018-2021)

  

1.  SAULO, H.; LEAO, J.; LEIVA, V.; VILA, ROBERTO; TOMAZELLA, V.. A bivariate fatigue-life regression model and its application to fracture of metallic tools. Brazilian Journal of Probability and Statistics, v.35, p.119-137, 2021 

2.  SAULO, H.; VILA, ROBERTO; PAIVA, L.; BALAKRISHNAN, N.; BOURGUIGNON, M.. On a Family of Discrete Log-Symmetric Distributions. JOURNAL OF STATISTICAL THEORY AND PRACTICE, v.15, p.67-., 2021

3.  VILA, ROBERTO; Çankaya, M. N.. A bimodal Weibull distribution: properties and inference. JOURNAL OF APPLIED STATISTICS, v.-, p.1-19, 2021 

4. VILA, ROBERTO. Sharp Phase Transition for the Random-Cluster Model with Summable External Magnetic Field. Markov Processes and Related Fields, v.27, p.43-62, 2021 

5.  ROLDAN, J.; VILA, ROBERTO. On the ultrametricity property in random field Ising models. JOURNAL OF MATHEMATICAL PHYSICS, v.61, p.103302-., 2020 

6.  VILA, ROBERTO; LEAO, J.; SAULO, H.; SHAHZAD, M. N.; SANTOS-NETO, M.. On a bimodal Birnbaum-Saunders distribution with applications to lifetime data. Brazilian Journal of Probability and Statistics, v.34, p.495-518, 2020  

7.  VILA, ROBERTO; FERREIRA, L.; SAULO, H.; PRATAVIERA, F.; ORTEGA, E. M. M.. A bimodal gamma distribution: Properties, regression model and applications. Statistics, v.54, p.469 -- 493-26, 2020 

8.  CUNHA, DANÚBIA R.; VILA, ROBERTO; SAULO, HELTON; FERNANDEZ, RODRIGO N.. A General Family of Autoregressive Conditional Duration Models Applied to High-Frequency Financial Data. Journal of Risk and Financial Management, v.13, p.45-., 2020

9.  SAULO, H.; VILA, ROBERTO; VILCA, F.; MARTINEZ, J. L.. On Asymmetric Regression Models with Allowance for Temporal Dependence. JOURNAL OF STATISTICAL THEORY AND PRACTICE, v.14, p.40-., 2020

10.  LEIVA, V.; SAULO, H.; SOUZA, R.; AYKROYD, R.; VILA, ROBERTO. A new BISARMA time series model for forecasting mortality using weather and particulate matter data. Journal of Forecasting, v. , p.1-25, 2020 

11.  VILA, ROBERTO; NAKANO, EDUARDO Y.; SAULO, HELTON. Theoretical results on the discrete Weibull distribution of Nakagawa and Osaki. STATISTICS, v.53, p.339-363, 2019 

12.  SAULO, HELTON; LEÃO, JEREMIAS; VILA, ROBERTO; LEIVA, VICTOR; TOMAZELLA, VERA. On mean-based bivariate Birnbaum-Saunders distributions: Properties, inference and application. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, v.-, p.1-25, 2019 

13. LUCINGER, L. R.; VILA, ROBERTO. Existence of Scaling Limit Phase Transition in a Two-Dimensional Random Polymer Model. Markov Processes and Related Fields, v.25, p.863-878, 2019