activity
20172022
most citedGraph signal denoising using -shrinkage priors

2 citations · 4 across the 8 of their papers we have counts for

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12 papers · 1 filter

stat.ME2022

Precision education: A Bayesian nonparametric approach for handling item and examinee heterogeneity in assessment data

Tianyu Pan, Weining Shen, Clintin P. Davis-Stober +1

We propose a novel nonparametric Bayesian IRT model in this paper by introducing the clustering effect at question level and further assume heterogeneity at examinee level under ea…

stat.ME2022

Multidimensional heterogeneity learning for count value tensor data with applications to field goal attempt analysis of NBA players

Guanyu Hu, Yishu Xue, Weining Shen

We propose a multidimensional tensor clustering approach for studying how professional basketball players' shooting patterns vary over court locations and game time. Unlike most ex…

stat.ME2021

Nonparametric tests for treatment effect heterogeneity in observational studies

Maozhu Dai, Weining Shen, Hal S. Stern

We consider the problem of testing for treatment effect heterogeneity in observational studies, and propose a nonparametric test based on multisample U-statistics. To account for p…

stat.ME20211 cited

Addressing patient heterogeneity in disease predictive model development

Xu Gao, Weining Shen, Jing Ning +2

This paper addresses patient heterogeneity associated with prediction problems in biomedical applications. We propose a systematic hypothesis testing approach to determine the exis…

stat.ME20202 cited

Graph signal denoising using -shrinkage priors

Sayantan Banerjee, Weining Shen

We study the graph signal denoising problem by estimating a piecewise constant signal over an undirected graph. We propose a new Bayesian approach that first converts a general gra…

stat.ME2020

Identifying latent groups in spatial panel data using a Markov random field constrained product partition model

Tianyu Pan, Guanyu Hu, Weining Shen

Understanding the heterogeneity over spatial locations is an important problem that has been widely studied in many applications such as economics and environmental science. In thi…