Fast and Separable Estimation in High-Dimensional Tensor Gaussian Graphical Models
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2021.1938086
Abstract: In the tensor data analysis, the Kronecker covariance structure plays a vital role in unsupervised learning and regression. Under the Kronecker covariance model assumption, the covariance of an M -way tensor is parameterized as the… read more here.
Keywords: high dimensional; estimation; dimensional tensor; tensor ... See more keywords
Efficient calculation of three-dimensional tensor networks
Sign Up to like & getrecommendations! Published in 2022 at "Physical Review B"
DOI: 10.1103/physrevb.107.165127
Abstract: We have proposed an efficient algorithm to calculate physical quantities in the translational invariant three-dimensional tensor networks, which is particularly relevant to the study of the three-dimensional classical statistical models and the (2+1)-dimensional quantum lattice… read more here.
Keywords: efficient calculation; calculation three; tensor networks; dimensional tensor ... See more keywords