2001, Risk, Statistics and Uncertainty

Data Science, Past & Future

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. You see these drivers involving risk and cost, but also opportunity. I can point to the year 2001. Tukey did this paper. All righty.

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Estimating the prevalence of rare events — theory and practice

The Unofficial Google Data Science Blog

AUGUST 27, 2019

But importance sampling in statistics is a variance reduction technique to improve the inference of the rate of rare events, and it seems natural to apply it to our prevalence estimation problem. High Risk 10% 5% 33.3% 2] Lawrence Brown, Tony Cai, Anirban DasGupta (2001). Statistical Science. How Many Strata?

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Data Science, Past & Future

Estimating the prevalence of rare events — theory and practice

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