5 citations · 13 across the 4 of their papers we have counts for
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stat.ME2026
Linear Regression Beyond Covariance: Latent Slope Spectra from Higher-Order Cumulants
Anirban Nath, Ming Yuan
Least squares summarizes the joint distribution of a response and regressor through second-order information. When an observed regressor is composed of latent components carrying d…
stat.ME2023★ 2 cited
On the Multiway Principal Component Analysis
Jialin Ouyang, Ming Yuan
Multiway data are becoming more and more common. While there are many approaches to extending principal component analysis (PCA) from usual data matrices to multiway arrays, their…
stat.ME2021★ 5 cited
Higher-order least squares: assessing partial goodness of fit of linear causal models
Christoph Schultheiss, Peter Bühlmann, Ming Yuan
We introduce a simple diagnostic test for assessing the overall or partial goodness of fit of a linear causal model with errors being independent of the covariates. In particular,…