546 citations · 1.2k across the 35 of their papers we have counts for
8 papers · 1 filter
A Flexible Quasi-Copula Distribution for Statistical Modeling
Sarah S. Ji, Benjamin B. Chu, Hua Zhou +1
Copulas, generalized estimating equations, and generalized linear mixed models promote the analysis of grouped data where non-normal responses are correlated. Unfortunately, parame…
A Sharper Computational Tool for Regression
Xiaoqian Liu, Eric C. Chi, Kenneth Lange
Building on previous research of Chi and Chi (2022), the current paper revisits estimation in robust structured regression under the criterion. We adopt the ma…
Algorithms for Sparse Support Vector Machines
Alfonso Landeros, Kenneth Lange
Many problems in classification involve huge numbers of irrelevant features. Model selection reveals the crucial features, reduces the dimensionality of feature space, and improves…
A Proximal Distance Algorithm for Likelihood-Based Sparse Covariance Estimation
Jason Xu, Kenneth Lange
This paper addresses the task of estimating a covariance matrix under a patternless sparsity assumption. In contrast to existing approaches based on thresholding or shrinkage penal…
Stable Estimation of a Covariance Matrix Guided by Nuclear Norm Penalties
Eric C. Chi, Kenneth Lange
Estimation of covariance matrices or their inverses plays a central role in many statistical methods. For these methods to work reliably, estimated matrices must not only be invert…
Reconstructing DNA copy number by joint segmentation of multiple sequences
Zhongyang Zhang, Kenneth Lange, Chiara Sabatti
The variation in DNA copy number carries information on the modalities of genome evolution and misregulation of DNA replication in cancer cells; its study can be helpful to localiz…