2011/11-08

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Abstract: I'll go over the building blocks of statistics and why you often hear about the conflict between "Bayesians" and "frequentists." Focusing on simple examples, I'll explain each camp and why I think they aren't really in disagreement. Hopefully we can get the audience shouting about this non-conflict. I'll also talk about some of my work on measuring the performance of confidence intervals and p-values, how you can make $800 million because of a lousy approximation, and "Why Most Published Research Findings Are False."
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I'll go over the building blocks of statistics and why you often hear about the conflict between "Bayesians" and "frequentists." Focusing on simple examples, I'll explain each camp and why I think they aren't really in disagreement. Hopefully we can get the audience shouting about this non-conflict. I'll also talk about some of my work on measuring the performance of confidence intervals and p-values, how you can make $800 million because of a lousy approximation, and "Why Most Published Research Findings Are False."
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Revision as of 00:29, 13 October 2011

[edit] Statistics and the Non-Conflict between Bayesians and Frequentists

Date: November 8, 2011, at 3:00 PM
Presenters: Keith Winstein (keithw)
Location: 3-133
Abstract: I'll go over the building blocks of statistics and why you often hear about the conflict between "Bayesians" and "frequentists." Focusing on simple examples, I'll explain each camp and why I think they aren't really in disagreement. Hopefully we can get the audience shouting about this non-conflict. I'll also talk about some of my work on measuring the performance of confidence intervals and p-values, how you can make $800 million because of a lousy approximation, and "Why Most Published Research Findings Are False."
Bio: Keith Winstein is a graduate student in Course 6.
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