Sunday, March 18, 2018

Will there be a credibility revolution in data science and AI?

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Summary: Understanding where AI and automation are going to be the most disruptive to data scientists in the near term relates to understand...
Tuesday, February 13, 2018

Intuition for Random Effects

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Previously I wrote a post based on course notes from J.Blumenstock that attempted to provide some intuition for how fixed effects estimator...
Friday, February 2, 2018

Deep Learning vs. Logistic Regression ROC vs Calibration Explaining vs. Predicting

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Frank Harrel writes  Is Medicine Mesmerized by Machine Learning? Some time ago I wrote about predictive modeling and the differences between...
Sunday, December 31, 2017

HARK! - flawed studies in nutrition call for credibility revolution -or- HARKing in nutrition research

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There was a nice piece over at the Genetic Literacy Project I read just recently:  Why so many scientific studies are flawed and poorly unde...
Thursday, August 24, 2017

Granger Causality

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"Granger causality is a standard linear technique for determining whether one time series is useful in forecasting another." (Irwi...
Monday, August 7, 2017

Confidence Intervals: Fad or Fashion

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Confidence intervals seem to be the fad among some in pop stats/data science/analytics. Whenever there is mention of p-hacking, or the ills...
Friday, July 21, 2017

Regression as a variance based weighted average treatment effect

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In Mostly Harmless Econometrics Angrist and Pischke discuss regression in the context of matching. Specifically they show that regression p...