4 papers
Nonparametric estimation of time-varying network connections by multi-stage smoothing
Jeonghwan Lee, Tianxi Li, Adam J. Rothman
We consider the problem of estimating the underlying edge probabilities of a time-varying network observed at multiple time points. The probability structure is represented by a ti…
Sparse Multivariate Linear Regression with Strongly Associated Response Variables
Daeyoung Ham, Bradley S. Price, Adam J. Rothman
We propose new methods for multivariate linear regression when the regression coefficient matrix is sparse and the error covariance matrix is dense. We assume that the error covari…
Fitted value shrinkage
Daeyoung Ham, Adam J. Rothman
We propose a penalized least-squares method to fit the linear regression model with fitted values that are invariant to invertible linear transformations of the design matrix. This…
Subspace decompositions for association structure learning in multivariate categorical response regression
Hongru Zhao, Aaron J. Molstad, Adam J. Rothman
Modeling the complex relationships between multiple categorical response variables as a function of predictors is a fundamental task in the analysis of categorical data. However, e…