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stat.ME2018★ 2 cited
Minimax Posterior Convergence Rates and Model Selection Consistency in High-dimensional DAG Models based on Sparse Cholesky Factors
Kyoungjae Lee, Jaeyong Lee, Lizhen Lin
In this paper, we study the high-dimensional sparse directed acyclic graph (DAG) models under the empirical sparse Cholesky prior. Among our results, strong model selection consist…
stat.ME2018
Maximum Pairwise Bayes Factors for Covariance Structure Testing
Kyoungjae Lee, Lizhen Lin, David Dunson
Hypothesis testing of structure in covariance matrices is of significant importance, but faces great challenges in high-dimensional settings. Although consistent frequentist one-sa…
stat.ME2018
Bayesian Bandwidth Test and Selection for High-dimensional Banded Precision Matrices
Kyoungjae Lee, Lizhen Lin
Assuming a banded structure is one of the common practice in the estimation of high-dimensional precision matrix. In this case, estimating the bandwidth of the precision matrix is…