16 citations · 40 across the 10 of their papers we have counts for
4 papers · 1 filter
On Conditional Independence Graph Learning From Multi-Attribute Gaussian Dependent Time Series
Jitendra K. Tugnait
Estimation of the conditional independence graph (CIG) of high-dimensional multivariate Gaussian time series from multi-attribute data is considered. Existing methods for graph est…
Learning Conditional Independence Differential Graphs From Time-Dependent Data
Jitendra K Tugnait
Estimation of differences in conditional independence graphs (CIGs) of two time series Gaussian graphical models (TSGGMs) is investigated where the two TSGGMs are known to have sim…
Multi-Attribute Graph Estimation with Sparse-Group Non-Convex Penalties
Jitendra K Tugnait
We consider the problem of inferring the conditional independence graph (CIG) of high-dimensional Gaussian vectors from multi-attribute data. Most existing methods for graph estima…
Learning Multi-Attribute Differential Graphs with Non-Convex Penalties
Jitendra K Tugnait
We consider the problem of estimating differences in two multi-attribute Gaussian graphical models (GGMs) which are known to have similar structure, using a penalized D-trace loss…