activity
20132026
most citedOn Deep Instrumental Variables Estimate

11 citations · 42 across the 17 of their papers we have counts for

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5 papers · 1 filter

stat.ME2026

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…

stat.ME2023

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…

stat.ME2019

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…

stat.ME2018

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…

stat.ME20132 cited

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…