15 citations · 49 across the 17 of their papers we have counts for
18 papers
Low Tree-Rank Bayesian Vector Autoregression Model
Leo L. Duan, Zeyu Yuwen, George Michailidis +1
Vector autoregression has been widely used for modeling and analysis of multivariate time series data. In high-dimensional settings, model parameter regularization schemes inducing…
Spectral Clustering, Bayesian Spanning Forest, and Forest Process
Leo L. Duan, Arkaprava Roy
Spectral clustering views the similarity matrix as a weighted graph, and partitions the data by minimizing a graph-cut loss. Since it minimizes the across-cluster similarity, there…
Bayesian Inference using the Proximal Mapping: Uncertainty Quantification under Varying Dimensionality
Maoran Xu, Hua Zhou, Yujie Hu +1
In statistical applications, it is common to encounter parameters supported on a varying or unknown dimensional space. Examples include the fused lasso regression, the matrix recov…
Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph
Leo L. Duan, David B. Dunson
In multivariate data analysis, it is often important to estimate a graph characterizing dependence among (p) variables. A popular strategy uses the non-zero entries in a (p\times p…
Consistent Model-based Clustering: using the Quasi-Bernoulli Stick-Breaking Process
Cheng Zeng, Jeffrey W. Miller, Leo L. Duan
In mixture modeling and clustering applications, the number of components and clusters is often not known. A stick-breaking mixture model, such as the Dirichlet process mixture mod…
Bayesian Inference with the l1-ball Prior: Solving Combinatorial Problems with Exact Zeros
Maoran Xu, Leo L. Duan
The l1-regularization is very popular in high dimensional statistics -- it changes a combinatorial problem of choosing which subset of the parameter are zero, into a simple continu…