2005, Interactive, 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. They learned about a lot of process that requires that you get rid of uncertainty. They’re being told they have to embrace uncertainty.

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Using random effects models in prediction problems

The Unofficial Google Data Science Blog

MARCH 31, 2016

We often use statistical models to summarize the variation in our data, and random effects models are well suited for this — they are a form of ANOVA after all. In the context of prediction problems, another benefit is that the models produce an estimate of the uncertainty in their predictions: the predictive posterior distribution.

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Data Leaders Brief

Data Science, Past & Future

Using random effects models in prediction problems

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