Dr. Felipe Queiroz

Postdoctoral Researcher

Research
I am currently working on semiparametric quantile regression for modeling inflated bounded continuous data. This project was funded by FAPESP (São Paulo Research Foundation), Brazil, under grant number 2024/08343-9.
My research interests include flexible modeling for bounded continuous data, robust inference, and spatial regression models for count data.

Publications

• Maluf YS, Ferrari SLP, Queiroz FF. (2025). Robust beta regression through the logit transformation. Metrika, 88, 61-68. https://doi.org/10.1007/s00184-024-00949-1
• Queiroz FF, Ferrari SLP. (2024). Modeling tropical tuna shifts: An inflated power logit regression approach. Biometrical Journal, 66, 2300288. https://doi.org/10.1002/bimj.202300288
• Queiroz FF, Ferrari SLP. (2024). Power logit regression for modeling bounded data. Statistical Modelling, 24, 395-421. https://doi.org/10.1177/1471082X221140157
• Queiroz FF, Ferrari SLP. (2024). PLreg: an R package for modeling bounded continuous data. The R Journal, 15, 236-254. https://doi.org/10.32614/RJ-2023-093
• Queiroz FF, Lemonte AJ. (2021). A broad class of zero-or-one inflated regression models for rates and proportions. Canadian Journal of Statistics, 49, 566-590. https://doi.org/10.1002/cjs.11576
• Queiroz FF, Lemonte AJ. (2020). On hypothesis testing inference in location-scale models under model misspecification. Journal of Statistical Computation and Simulation, 90, 2080–2097. https://doi.org/10.1080/00949655.2020.1763996