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Frequentist/Bayes controversies, homeopathy and (ES)P-values

Roderick J.A. Little Richard D. Remington Distinguished University Professor of Biostatistics, Professor of Statistics, and Research Professor - Institute for Social Research, University of Michigan
Thursday, March 9, 2017
11:30 AM-12:30 PM
340 West Hall Map
I compare and contrast the two predominant philosophies for characterizing empirical uncertainty, frequentist and Bayesian statistics. The frequentist approach, in particular Neyman’s formulation of confidence intervals and Neyman-Pearson significance testing, held sway in much of the last century, but the Bayesian approach has experienced a dramatic revival in recent years. I’ll discuss why. While frequentist ideas remain essential for keeping our models from sending us off the rails, Bayes provides a comprehensive and logical inferential framework for addressing the entire spectrum of uncertainty, from extraterrestrial life to tennis strategy. The P-value debate, homeopathic treatments and ESP are discussed from the Bayesian and frequentist perspectives.
Building: West Hall
Event Type: Workshop / Seminar
Tags: Biostatistics, Complex Systems, Science, seminar, Statistics
Source: Happening @ Michigan from The Center for the Study of Complex Systems