99 citations · 128 across the 12 of their papers we have counts for
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stat.ME2023★ 1 cited
Statistical Inference on Grayscale Images via the Euler-Radon Transform
Kun Meng, Mattie Ji, Jinyu Wang +4
Tools from topological data analysis have been widely used to represent binary images in many scientific applications. Methods that aim to represent grayscale images (i.e., where p…
stat.ME2023★ 1 cited
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations
Hammaad Adam, Fan Yin, Huibin +5
Randomized experiments often need to be stopped prematurely due to the treatment having an unintended harmful effect. Existing methods that determine when to stop an experiment ear…
stat.ME2023
A Simple Approach for Local and Global Variable Importance in Nonlinear Regression Models
Emily T. Winn-Nuñez, Maryclare Griffin, Lorin Crawford
The ability to interpret machine learning models has become increasingly important as their usage in data science continues to rise. Most current interpretability methods are optim…