Posteriori properties for Bayesian regression models and applications in large and complex industrial and medical data

• Grant number: 19/27636-9
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: September 01, 2020
• End date: March 31, 2023
• Field of knowledge: Physical Sciences and Mathematics - Probability and Statistics - Statistics
• Principal Investigator: Francisco Louzada Neto
• Grantee: Eduardo Ramos
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Associated research grant: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry, AP.CEPID

Abstract

This position is focused on the study of posteriori properties in Bayesian regression models and applications in large and complex industrial and medical data. The fellow will work under the direction of Professor Francisco Louzada in the Institute of Mathematical Science and Computing at the University of São Paulo, São Carlos, Brazil. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

RAMOS, PEDRO L.; MOTA, ALEX L.; FERREIRA, PAULO H.; RAMOS, EDUARDO; TOMAZELLA, VERA L. D.; LOUZADA, FRANCISCO. Bayesian analysis of the inverse generalized gamma distribution using objective priors. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, v. 91, n. 4, p. 31-pg., 2020-10-13. (13/07375-0, 19/27636-9)

RAMOS, PEDRO L.; DEY, DIPAK K.; LOUZADA, FRANCISCO; RAMOS, EDUARDO. On Posterior Properties of the Two Parameter Gamma Family of Distributions. Anais da Academia Brasileira de Ciências, v. 93, n. 3, 2021. (17/25971-0, 19/27636-9, 13/07375-0)