Influence Function

Sensitivity of MCMC-based analyses to small-data removal
If the conclusion of a data analysis is sensitive to dropping very few data points, that conclusion might hinge on the particular data …
Tin Nguyen, Ryan Giordano, Rachael Meager, Tamara Broderick
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Approximations to worst-case data dropping: unmasking failure modes
A data analyst might worry about generalization if dropping a very small fraction of data points from a study could change its …
Jenny Y. Huang, David R. Burt, Tin Nguyen, Yunyi Shen, Tamara Broderick
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Using gradients to check sensitivity of MCMC-based analyses to removing data
If the conclusion of a data analysis is sensitive to dropping very few data points, that conclusion might hinge on the particular data …
Tin Nguyen, Ryan Giordano, Rachael Meager, Tamara Broderick
PDF