3 papers
stat.ME2023
StabJGL: a stability approach to sparsity and similarity selection in multiple network reconstruction
Camilla Lingjærde, Sylvia Richardson
In recent years, network models have gained prominence for their ability to capture complex associations. In statistical omics, networks can be used to model and study the function…
stat.ME2022
Scalable Multiple Network Inference with the Joint Graphical Horseshoe
Camilla Lingjærde, Benjamin P. Fairfax, Sylvia Richardson +1
Network models are useful tools for modelling complex associations. If a Gaussian graphical model is assumed, conditional independence is determined by the non-zero entries of the…
stat.ME2019
Influence of single observations on the choice of the penalty parameter in ridge regression
Kristoffer H. Hellton, Camilla Lingjærde, Riccardo De Bin
Penalized regression methods such as ridge regression heavily rely on the choice of a tuning or penalty parameter, which is often computed via cross-validation. Discrepancies in th…