2009/Statistics
From SIPB Cluedumps
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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." | 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 '03 is an associate member of SIPB, on leave from his Ph.D. at MIT. He works as a reporter at <i>The Wall Street Journal</i> in Boston, covering science and medicine. | |bio=Keith Winstein '03 is an associate member of SIPB, on leave from his Ph.D. at MIT. He works as a reporter at <i>The Wall Street Journal</i> in Boston, covering science and medicine. | ||
+ | |notes=[http://web.mit.edu/cluedumps/slides/stats-cluedump-2009.pdf Statistics and the Non-Conflict between Bayesians and Frequentists (slides)] | ||
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Latest revision as of 23:17, 19 October 2009
[edit] Statistics and the Non-Conflict between Bayesians and Frequentists
Date: October 13, 2009, at 4:30 PM |
Presenters: Keith Winstein (keithw) |
Location: 4-231 |
Notes: Statistics and the Non-Conflict between Bayesians and Frequentists (slides) |
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 '03 is an associate member of SIPB, on leave from his Ph.D. at MIT. He works as a reporter at The Wall Street Journal in Boston, covering science and medicine. |