2015, Data mining, Knowledge Discovery and Reporting

Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

JULY 22, 2020

For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation. Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining. 2015): 37-45. [3] Cambridge University Press, 2015. [6] 2] Scott, Steven L.

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Using Empirical Bayes to approximate posteriors for large "black box" estimators

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

References [1] Omkar Muralidharan, Amir Najmi "Second Order Calibration: A Simple Way To Get Approximate Posteriors" , Technical Report, Google, 2015. [2] 3] Bradley Efron, "Robbins, Empirical Bayes, and Microarrays" , Technical Report, 2003. [4]

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Changing assignment weights with time-based confounders

Using Empirical Bayes to approximate posteriors for large "black box" estimators

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