Efficient Dimensionality Reduction for High-Dimensional Network Estimation

Safiye Celik, Benjamin A. Logsdon, Su-In Lee

Abstract: We propose module graphical lasso (MGL), an aggressive dimensionality reduction and network estimation technique for a high-dimensional Gaussian graphical model (GGM). MGL achieves scalability, int...