Estimating time-varying networks

Estimation And Selection Via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications

Estimation of causal orders in a linear non-Gaussian acyclic model: a method robust against latent confounders

Estimation of low-rank tensors via convex optimization

Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs

Estimation of scale functions to model heteroscedasticity by support vector machines

Euclidean Distances, soft and spectral Clustering on Weighted Graphs

Exact block-wise optimization in group lasso and sparse group lasso for linear regression

Exact covariance thresholding into connected components for large-scale Graphical Lasso

Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation

Extension of SBL Algorithms for the Recovery of Block Sparse Signals with Intra-Block Correlation