124 citations · 550 across the 52 of their papers we have counts for
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stat.ME2018
ABACUS: Unsupervised Multivariate Change Detection via Bayesian Source Separation
Wenyu Zhang, Daniel Gilbert, David Matteson
Change detection involves segmenting sequential data such that observations in the same segment share some desired properties. Multivariate change detection continues to be a chall…
math.ST2018★ 2 cited
Testing for Conditional Mean Independence with Covariates through Martingale Difference Divergence
Ze Jin, Xiaohan Yan, David S. Matteson
As a crucial problem in statistics is to decide whether additional variables are needed in a regression model. We propose a new multivariate test to investigate the conditional mea…
stat.ME2018★ 2 cited
Independent Component Analysis via Energy-based and Kernel-based Mutual Dependence Measures
Ze Jin, David S. Matteson
We apply both distance-based (Jin and Matteson, 2017) and kernel-based (Pfister et al., 2016) mutual dependence measures to independent component analysis (ICA), and generalize dCo…