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Analytically Speaking

To Explain or Predict? That Is the Question

With Galit Shmueli

In her highly acclaimed paper, To Explain or to Predict?, Galit Shmueli writes ā€œstatistical modeling is a powerful tool for developing and testing theories by way of causal explanation, prediction, and description.ā€ But while it is common to conflate explanation and prediction, understanding the distinction is crucial.

In this video:
  • Four important tensions between explaining and predicting.
  • Information quality.
  • Hacking data mining for causality.
  • How to spark student curiosity in statistics.
  • What is behavioral big data?

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