Tuesday, April 21, 2020

Experimentation and Causal inference: A Behavioral Economic Perspective

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In my previous post I discussed the value proposition of experimentation and causal inference from a mainline economic perspective. In this...
Monday, April 20, 2020

Experimentation and Causal Inference Meet the Knowledge Problem

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Why should firms leverage experimentation and causal inference? With recent advancements in computing power and machine learning, why can...
Monday, April 6, 2020

Statistics is a Way of Thinking, Not Just a Box of Tools

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If you have taken very many statistics courses you may have gotten the impression that it's mostly a mixed bag of computations and rules...
Wednesday, February 12, 2020

Randomized Encouragement: When noncompliance may be a feature and not a bug

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Many times in a randomized controlled trial (RCT) issues related to non-compliance arise. Subjects assigned to the treatment fail to comply,...
Monday, December 16, 2019

Some Recommended Podcasts and Episodes on AI and Machine Learning

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Something I have been interested in for some time now is both is the convergence of big data and genomics and the convergence of causal infe...
Wednesday, December 11, 2019

When Wicked Problems Meet Biased Data

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In "Dissecting racial bias in an algorithm used to manage the health of populations" (Science, Vol 366 25 Oct. 2019) the authors d...
Monday, September 30, 2019

Wicked Problems and The Role of Expertise and AI in Data Science

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In 2018, an article in Science characterized the challenge of pesticide resistance as a wicked problem: “If we are to address this recalci...