High-Dimensional Poisson DAG Model Learning Using $\ell_1$-Regularized Regression

no code implementations • 5 Oct 2018 • Gunwoong Park, Sion Park

In this paper, we develop a new approach to learning high-dimensional Poisson directed acyclic graphical (DAG) models from only observational data without strong assumptions such as faithfulness and strong sparsity.

regression Vocal Bursts Intensity Prediction