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02/08/2022
Adaptive Bayesian Variable Clustering via Structural Learning of Breast Cancer Data
Clustering of proteins is of interest in cancer cell biology. This artic...
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10/07/2021
Estimation of Constrained Mean-Covariance of Normal Distributions
Estimation of the mean vector and covariance matrix is of central import...
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07/04/2021
Time Series Graphical Lasso and Sparse VAR Estimation
We improve upon the two-stage sparse vector autoregression (sVAR) method...
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07/04/2021
Learning Bayesian Networks through Birkhoff Polytope: A Relaxation Method
We establish a novel framework for learning a directed acyclic graph (DA...
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12/22/2020
MLE of Jointly Constrained Mean-Covariance of Multivariate Normal Distributions
Estimating the unconstrained mean and covariance matrix is a popular top...
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07/22/2020
Fused-Lasso Regularized Cholesky Factors of Large Nonstationary Covariance Matrices of Longitudinal Data
Smoothness of the subdiagonals of the Cholesky factor of large covarianc...
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04/20/2019
