Deviance Tests for Graph Estimation From Multi-Attribute Gaussian Data
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2020.3023575
Abstract: We consider the problem of inferring the conditional independence graph (CIG) of Gaussian vectors from multi-attribute data. Most existing methods for graph estimation are based on single-attribute models where one associates a scalar random variable… read more here.
Keywords: graph estimation; attribute gaussian; multi attribute; attribute ... See more keywords
Topology Adaptive Graph Estimation in High Dimensions
Sign Up to like & getrecommendations! Published in 2022 at "Mathematics"
DOI: 10.3390/math10081244
Abstract: We introduce Graphical TREX (GTREX), a novel method for graph estimation in high-dimensional Gaussian graphical models. By conducting neighborhood selection with TREX, GTREX avoids tuning parameters and is adaptive to the graph topology. We compared… read more here.
Keywords: graph estimation; topology; graph; adaptive graph ... See more keywords