Gisele de Oliveira Maia | Mathematics | Best Researcher Award
Professor at Federal University of Itajubá, Brazil.
Gisele de Oliveira Maia is a Brazilian statistician who specializes in semiparametric models, Bayesian inference, and time series analysis, with a focus on latent factor models and GLARMA models. She is a dedicated academic, having pursued both undergraduate and graduate degrees in statistics, culminating in a PhD from the Federal University of Minas Gerais (UFMG) in 2024. Maia’s research seeks to improve the analysis of complex datasets, including asymmetrical and time-dependent data, and she is committed to sharing her findings and tools through open-access methods.
Publication Profile
Education 🌱🎓
Experience 🌾👨🏫
Research Interest 📚
Awards and Honors🏆
Publication Top Notes
Title: Semiparametric time series models driven by latent factor
Authors: G. de Oliveira Maia, W. Barreto-Souza, F. de Souza Bastos, H. Ombao
Journal: International Journal of Forecasting
Year: 2021
Citations: 8
Title: GLARMA Model for Temporal Data Analysis: extensions for positive continuous data and a bootstrap proposal for inference on model parameters
Author: G. de Oliveira Maia
Year: 2024
Citations: 1
Title: Conditional parametric bootstrap in GLARMA models
Authors: G.O. Maia, G.C. Franco
Journal: Journal of Statistical Computation and Simulation
Year: 2024
Citations: 1
- Title: Modeling count time series: a comparative case study
Authors: G. de Oliveira Maia, G. da Conceição Franco, T.R. dos Santos, A.J.A. Câmara
Journal: Sigmae
Year: 2024
Citations: 0