147 citations · 208 across the 22 of their papers we have counts for
5 papers · 1 filter
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…
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…
Analysis of professional basketball field goal attempts via a Bayesian matrix clustering approach
Fan Yin, Guanyu Hu, Weining Shen
We propose a Bayesian nonparametric matrix clustering approach to analyze the latent heterogeneity structure in the shot selection data collected from professional basketball playe…
Spatial homogeneity learning for spatially correlated functional data with application to COVID-19 Growth rate curves
Tianyu Pan, Weining Shen, Guanyu Hu
We study the spatial heterogeneity effect on regional COVID-19 pandemic timing and severity by analyzing the COVID-19 growth rate curves in the United States. We propose a geograph…
Covariance Estimation for Matrix-valued Data
Yichi Zhang, Weining Shen, Dehan Kong
Covariance estimation for matrix-valued data has received an increasing interest in applications. Unlike previous works that rely heavily on matrix normal distribution assumption a…