5 papers
Causal Inference Using Augmented Epidemic Models
Heejong Bong, Valérie Ventura, Larry Wasserman
Epidemic models describe the evolution of a communicable disease over time. These models are often modified to include the effects of interventions (control measures) such as vacci…
Simultaneous Inference in Multiple Matrix-Variate Graphs for High-Dimensional Neural Recordings
Zongge Liu, Heejong Bong, Zhao Ren +2
We study simultaneous inference for multiple matrix-variate Gaussian graphical models in high-dimensional settings. Such models arise when spatiotemporal data are collected across…
Cross-Population Amplitude Coupling in High-Dimensional Oscillatory Neural Time Series
Heejong Bong, Valérie Ventura, Eric A. Yttri +2
Neural oscillations have long been considered important markers of interaction across brain regions, yet identifying coordinated oscillatory activity from high-dimensional multiple…
Dual Induction CLT for High-dimensional m-dependent Data
Heejong Bong, Arun Kumar Kuchibhotla, Alessandro Rinaldo
We derive novel and sharp high-dimensional Berry--Esseen bounds for the sum of -dependent random vectors over the class of hyper-rectangles exhibiting only a poly-logarithmic de…
Heterogeneous Treatment Effects under Network Interference: A Nonparametric Approach Based on Node Connectivity
Heejong Bong, Colin B. Fogarty, Elizaveta Levina +1
In network settings, interference between units makes causal inference more challenging as outcomes may depend on the treatments received by others in the network. Typical estimand…