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Found 3 papers, 1 papers with code
Mixed-type multivariate response regression with covariance estimation
We propose a new method for multivariate response regression and covariance estimation when elements of the response vector are of mixed types, for example some continuous and some discrete.
Methodology Computation
Estimating Multiple Precision Matrices with Cluster Fusion Regularization
The framework proposed in this article allows for simultaneous estimation of the precision matrices and relationships between the precision matrices, jointly.
A penalized likelihood method for classification with matrix-valued predictors
We propose a penalized likelihood method to fit the linear discriminant analysis model when the predictor is matrix valued.
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