1.5k citations · 1.7k across the 34 of their papers we have counts for
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Nonparametric mixture MLEs under Gaussian-smoothed optimal transport distance
Fang Han, Zhen Miao, Yandi Shen
The Gaussian-smoothed optimal transport (GOT) framework, pioneered in Goldfeld et al. (2020) and followed up by a series of subsequent papers, has quickly caught attention among re…
Distribution-free tests of multivariate independence based on center-outward quadrant, Spearman, Kendall, and van der Waerden statistics
Hongjian Shi, Mathias Drton, Marc Hallin +1
Due to the lack of a canonical ordering in for , defining multivariate generalizations of the classical univariate ranks has been a long-standing open problem…
On boosting the power of Chatterjee's rank correlation
Zhexiao Lin, Fang Han
Chatterjee (2021)'s ingenious approach to estimating a measure of dependence first proposed by Dette et al. (2013) based on simple rank statistics has quickly caught attention. Thi…
On Azadkia-Chatterjee's conditional dependence coefficient
Hongjian Shi, Mathias Drton, Fang Han
In recent work, Azadkia and Chatterjee (2021) laid out an ingenious approach to defining consistent measures of conditional dependence. Their fully nonparametric approach forms sta…
Robust Functional Principal Component Analysis via Functional Pairwise Spatial Signs
Guangxing Wang, Sisheng Liu, Fang Han +1
Functional principal component analysis (FPCA) has been widely used to capture major modes of variation and reduce dimensions in functional data analysis. However, standard FPCA ba…