2 citations · 12 across the 10 of their papers we have counts for
10 papers
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…
Envelopes and principal component regression
Xin Zhang, Kai Deng, Qing Mai
Envelope methods offer targeted dimension reduction for various models. The overarching goal is to improve efficiency in multivariate parameter estimation by projecting the data on…
Conditional probability tensor decompositions for multivariate categorical response regression
Aaron J. Molstad, Xin Zhang
In many modern regression applications, the response consists of multiple categorical random variables whose probability mass is a function of a common set of predictors. In this a…
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…
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…
TULIP: A Toolbox for Linear Discriminant Analysis with Penalties
Yuqing Pan, Qing Mai, Xin Zhang
Linear discriminant analysis (LDA) is a powerful tool in building classifiers with easy computation and interpretation. Recent advancements in science technology have led to the po…
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…
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…
Parsimonious Tensor Response Regression
Lexin Li, Xin Zhang
Aiming at abundant scientific and engineering data with not only high dimensionality but also complex structure, we study the regression problem with a multidimensional array (tens…
Algorithms for envelope estimation
R. Dennis Cook, Xin Zhang
Envelopes were recently proposed as methods for reducing estimative variation in multivariate linear regression. Estimation of an envelope usually involves optimization over Grassm…