60 citations · 266 across the 46 of their papers we have counts for
11 papers · 1 filter
A Consistent Feature Screening Approach for Tensor Responses with Applications to Genome-Wide Facial Shape Association
Shaofei Zhao, Zuofeng Shang, Seth M. Weinberg +3
As data collecting technologies advance, data structures are getting more and more complex, from single vectors to multi-dimensional tensors. This article is motivated by a variabl…
Empirical likelihood test for community structure in networks
Mingao Yuan, Sharmin Hossain, Zuofeng Shang
Network data, characterized by interconnected nodes and edges, is pervasive in various domains and has gained significant popularity in recent years. In network data analysis, test…
Matrix Autoregressive Model with Vector Time Series Covariates for Spatio-Temporal Data
Hu Sun, Zuofeng Shang, Yang Chen
We develop a new methodology for forecasting matrix-valued time series with historical matrix data and auxiliary vector time series data. We focus on a time series of matrices defi…
Statistical Inference with Stochastic Gradient Methods under -mixing Data
Ruiqi Liu, Xi Chen, Zuofeng Shang
Stochastic gradient descent (SGD) is a scalable and memory-efficient optimization algorithm for large datasets and stream data, which has drawn a great deal of attention and popula…
Scalable inference in functional linear regression with streaming data
Jinhan Xie, Enze Shi, Peijun Sang +3
Traditional static functional data analysis is facing new challenges due to streaming data, where data constantly flow in. A major challenge is that storing such an ever-increasing…
An Approach of Bayesian Variable Selection for Ultrahigh Dimensional Multivariate Regression
Xiaotian Dai, Guifang Fu, Randall Reese +2
In many practices, scientists are particularly interested in detecting which of the predictors are truly associated with a multivariate response. It is more accurate to model multi…
Minimax Nonparametric Two-sample Test under Smoothing
Xin Xing, Zuofeng Shang, Pang Du +3
We consider the problem of comparing probability densities between two groups. A new probabilistic tensor product smoothing spline framework is developed to model the joint density…
A likelihood-ratio type test for stochastic block models with bounded degrees
Mingao Yuan, Yang Feng, Zuofeng Shang
A fundamental problem in network data analysis is to test Erdös-Rényi model versus a bisection stochastic block model $\mathcal{G}\left(n…
Sparse and Efficient Estimation for Partial Spline Models with Increasing Dimension
Guang Cheng, Hao Helen Zhang, Zuofeng Shang
We consider model selection and estimation for partial spline models and propose a new regularization method in the context of smoothing splines. The regularization method has a si…
High-Dimensional Bayesian Inference in Nonparametric Additive Models
Zuofeng Shang, Ping Li
A fully Bayesian approach is proposed for ultrahigh-dimensional nonparametric additive models in which the number of additive components may be larger than the sample size, though…
Bayesian Ultrahigh-Dimensional Screening Via MCMC
Zuofeng Shang, Ping Li
We explore the theoretical and numerical property of a fully Bayesian model selection method in sparse ultrahigh-dimensional settings, i.e., , where is the number of co…