scientific diffusion Seminars and Agenda The Bayesian Paradigm Yesterday, today and tomorrow
The Bayesian Paradigm Yesterday, today and tomorrow
SEMINAR METHODOLOGY CEM SERIES 2016 “THE BAYESIAN PARADIGM YESTERDAY, TODAY AND TOMORROW”
INSPER professor, Hedibert F. Lopes, will make a presentation which will addresses, in general, the differences between Bayesian and frequentist paradigms in quantitative approaches. He argues that the modeling of unstructured data—that witnessed major expansion—is made easier or possible only within the Bayesian approach. The professor made a parallel between Bayesian methods applied Machine Learning.
POST-EVENT
INSPER professor, Hedibert F. Lopes, made a presentation which addressed, in general, the differences between Bayesian and frequentist paradigms in quantitative approaches. He argued that the modeling of unstructured data—that witnessed major expansion—is made easier or possible only within the Bayesian approach. The professor made a parallel between Bayesian methods applied Machine Learning.
The lecturer research at INSPER, Data Sciences Center and Decision (NCDD), which aims to combine expertise in statistics, computer science, marketing and strategy, as well as acting in the dissemination of modern data analysis and decision making.
The audience was comprised of FFLCH students and faculty, and professors and students from IME-USP and POLI, among other units of USP and other institutions.
