Daniel F. Linder

The paper proposes a Bayesian hierarchical model with global-local shrinkage priors to infer gene regulatory networks from time series data, showing improved performance over existing methods.

The paper introduces a Bayesian hierarchical model for high-dimensional phenotype classification and model selection, showing improved performance in simulation and real datasets.