7 citations · 7 across the 2 of their papers we have counts for
2 papers
physics.soc-ph2023★ 7 cited
Cross-validation of correlation networks using modular structure
Magnus Neuman, Viktor Jonsson, Joaquín Calatayud +1
Correlation networks derived from multivariate data appear in many applications across the sciences. These networks are usually dense and require sparsification to detect meaningfu…
physics.data-an2023
Module-based regularization improves Gaussian graphical models when observing noisy data
Magnus Neuman, Joaquín Calatayud, Viktor Tasselius +1
Inferring relations from correlational data allows researchers across the sciences to uncover complex connections between variables for insights into the underlying mechanisms. The…