activity
20172025
most citedModel-free Envelope Dimension Selection

2 citations · 5 across the 4 of their papers we have counts for

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5 papers · 1 filter

stat.ME2025

Dimension Reduction for Characterizing Sexual Dimorphism in Biomechanics of the Temporomandibular Joint

Sung Hee Park, Xin Zhang, Elizabeth Slate +2

Sexual dimorphism is a critical factor in many biological and medical research fields. In biomechanics and bioengineering, understanding sex differences is crucial for studying mus…

stat.ME2020★ 1 cited

A Doubly-Enhanced EM Algorithm for Model-Based Tensor Clustering

Qing Mai, Xin Zhang, Yuqing Pan +1

Modern scientific studies often collect data sets in the forms of tensors, which call for innovative statistical analysis methods. In particular, there is a pressing need for tenso…

stat.ME2020

Generalized Liquid Association Analysis for Multimodal Data Integration

Lexin Li, Jing Zeng, Xin Zhang

Multimodal data are now prevailing in scientific research. A central question in multimodal integrative analysis is to understand how two data modalities associate and interact wit…

stat.ME2018

Covariate-Adjusted Tensor Classification in High-Dimensions

Yuqing Pan, Qing Mai, Xin Zhang

In contemporary scientific research, it is of great interest to predict a categorical response based on a high-dimensional tensor (i.e. multi-dimensional array) and additional cova…

stat.ME2017★ 2 cited

Model-free Envelope Dimension Selection

Xin Zhang, Qing Mai

An envelope is a targeted dimension reduction subspace for simultaneously achieving dimension reduction and improving parameter estimation efficiency. While many envelope methods h…