I am an Assistant Professor at Pontificia Universidad Católica de Chile. I have a Master's degree in Applied and Computational Mathematics and a Bachelor's degree in Statistics from Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP). I completed my Ph.D. in Statistics at the University of São Paulo (USP) and Universidade Federal de São Carlos (UFSCar) through the Interinstitutional Program. I also participated in a sandwich Ph.D. program at the University of Connecticut (UCONN) in the United States. I hold two postdoctoral positions from the University of São Paulo (USP). Currently, I serve as a Ph.D. advisor in the Statistics program at the Faculty of Mathematics at Pontificia Universidad Católica de Chile and as an advisor in the Ph.D. program in Engineering and Sciences with Industry at the same university. I am an associate researcher at the Center for Research in Applied Mathematics to Industry, Cepid/CeMEAI, and a collaborating researcher in the Master's program in Applied and Computational Mathematics at FCT-UNESP, as well as an advisor in the professional Master's program in Applied Mathematics, Statistics, and Computation to Industry at the University of São Paulo. I have experience in the field of Probability and Statistics, with an emphasis on Bayesian and Classical Inference, primarily focusing on the following topics: model selection, reliability analysis, and quality control.
Ramos, P.L, Rodrigues F. Ramos, E., Dey D. Louzada, F. Power laws distributions in objective priors. Statistica Sinica. v34(1), p. 1-53, 2024.
Ramos, P.L. ; Costa, L.F. ; Louzada, F.. ; Rodrigues, F. Power laws in the Roman Empire: a survival analysis, Royal Society Open Science, 8(7):210850, 2021
Almeida, M. P. ; Paixao, R. ; Ramos, P.L. ; Tomazella, V. L. D. ; Ehlers, R. S.; Louzada, F. Bayesian non-parametric frailty model for dependent competing risks in a repairable systems framework. Reliability Engineering & System Safety, v. 204, p. 107145, 2020.
Ramos, P.L.; Nascimento, D. C. ; Ferreira, P. H. ; Tavares, K. ; Santos, T. E.G. ; Louzada, F. Modeling traumatic brain injury lifetime data: Improved estimators for the Generalized Gamma distribution under small samples. PLoS One, v. 14, p. e0221332, 2019.
Louzada, F.; Ramos, P.L.; Ramos, E. A Note on Bias of Closed-Form Estimators for the Gamma Distribution Derived from Likelihood Equations. American Statistician. V.71 , p.195- 199, 2019.
Instructor, São Paulo University (USP), Brazil, 2015.
Lecture, Trevisan Business School, Ribeirão Bonito.
Lecture, Paulista University, Bauru.
Collaborator Professor, São Paulo University (USP), Sãao Carlos, 2018.
HONORS, AWARDS AND GRANTS
Finalist of the 2019 ANP Technological Innovation Award, (joint work with other institutions) Brazilian National Oil Agency.
Best Poster Award on Statistics and Data Science, 2nd Conference on Statistics and Data Science, Bahia, Brazil , 2018 .
2 Place in the Best Doctoral Thesis Award from 2016-2018, Brazilian National Symposium on Probability and Statistic, 2018.
NSF/QPRC Award, University of Connecticut, 2017 .
Student Travel Grant - Visiting Scholar at University of Connecticut with scholarship granted by CAPES (Brazilian Federal Agency), 2017.
Young doctor section - Regression Models School, Brazil, 2019.
Best thesis presentation - National Symposium on Probability and Statistics, Brazil, 2018.
Facultad de Matemática, Oficina 303, Edificio Rolando Chuaqui, Campus San Joaquín. Avda. Vicuña Mackenna 4860, Macul, Chile.
Tel: (56) 9 4266-4984