methodology & application causal inference with network data Doubly Robust Non-parametric Estimation of Causal Effects under Network Interference causal inference in epidemiology Frequentist Causal Inference for Semi-mechanistic Epidemic Models with Interventions latent factor model Discovery of Functional Predictivity across Brain Regions from Local Field Potentials matrix-variate graphical model Simultaneous Inference in Multiple Matrix-Variate Graphs for High-Dimensional Neural Recordings statistical theory central limit theorem Central Limit Theorems for High-dimensional Dependent Samples ranking Theoretical Analyses on Pair-wise Comparison Data and Ranking Models concentration inequality Optimal Concentration Inequalities for Sums of Sub-Weibull Random Variables