Variable selection in sparse regression with hierarchically-related responses
Bayesian functional principal component analysis suite – **with Tui Nolan**
Source code for reproducing an example in a chapter published in the Handbook of Bayesian variable selection
FPCA estimates of patient disease trajectories after SARS-CoV-2 infection
Prediction of incomplete recovery from COVID-19
Faithful replication and simulation of molecular and clinical data
Annotation-driven approach for large-scale joint regression with multiple responses
Joint graphical horseshoe for multiple network inference with shared information – **creator and maintainer Camilla Lingjærde**
Large-scale variational inference for variable selection in sparse multiple-response regression
Solutions and suggested code for the 1st practical session fo the Bayes4Health-CoSInES Masterclass in variational inference – **with Camilla Lingjærde**