2009/Statistics

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.

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