5 citations · 27 across the 19 of their papers we have counts for
Showing 2023 · stat.MEShow all
3 papers · 2 filters
stat.ME2023★ 3 cited
Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data
Yabo Niu, Yang Ni, Debdeep Pati +1
In a traditional Gaussian graphical model, data homogeneity is routinely assumed with no extra variables affecting the conditional independence. In modern genomic datasets, there i…
stat.ME2023★ 4 cited
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior
Shuoli Chen, Kejun He, Shiyuan He +2
Tensor regression methods have been widely used to predict a scalar response from covariates in the form of a multiway array. In many applications, the regions of tensor covariates…
stat.ME2023
Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data
Arhit Chakrabarti, Yang Ni, Ellen Ruth A. Morris +3
We consider the problem of clustering grouped data with possibly non-exchangeable groups whose dependencies can be characterized by a known directed acyclic graph. To allow the sha…