STATISTICS COLLOQUIUM
Ivair Ramos Silva, Professor
Department of Statistics
Federal University of Ouro Preto, Brazil
Visiting Fellow, Department of Medicine, Harvard Medical School and Brigham Women's Hospital, Boston, USA
On the Correspondence between Frequentist and Bayesian Tests
Abstract
The confrontation between adepts of the Bayesian and the frequentist schools has endured for decades. However, a reconciling theory for hypothesis testing is emerging. This presentation is inspired in the work of Silva (2018), who shows that one can always calibrate Bayesian and frequentist tests in order to present the same decision rule for any hypothesis test problem.
Reference
Silva, I.R. (2018) On the correspondence between frequentist and Bayesian tests. Communications in Statistics - Theory and Methods, 47(14), 3477-3487
DATE: Wednesday, September 11, 2019
TIME: 4:00 pm
PLACE: Philip E. Austin Bldg., Rm. 344
Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326)
For more information, contact: Tracy Burke at tracy.burke@uconn.edu