Master in Applied and Computational Mathematics and graduated in Statistics from Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP) he holds a PhD in Statistics from Universidade de São Paulo, USP and Federal University of São Carlos, UFSCar (Interinstitutional Program). Participated in the sandwich doctoral program at the University of Connecticut (UCONN), United States. He is currently a Postdoctoral fellow at ICMC / USP with financial support from FAPESP. Has experience in the area of Probability and Statistics, with emphasis on Bayesian Inference, acting mainly on the following themes: model selection, reliability analysis and computational statistics (Source: Lattes Curriculum)
| News published in Agência FAPESP Newsletter about the researcher |
| TITULO |
| Articles published in other media outlets (0 total): |
| More itemsLess items |
| VEICULO: TITULO (DATA) |
| VEICULO: TITULO (DATA) |
The purpose of this post-doctoral project is to propose different estimation methods that can be applied in complex networks. Firstly, we will consider Bayesian methods to determine the minimum size of networks so that real network properties are observed as well as the distribution of the number of connections. This study will solve a fundamental problem in networks which are related to …
| 1 / 1 | Completed scholarships in Brazil |
| Associated processes | |
CV Lattes
ORCID