4 citations · 7 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
Frequentist Inference for Semi-mechanistic Epidemic Models with Interventions
Heejong Bong, Valérie Ventura, Larry Wasserman
The effect of public health interventions on an epidemic are often estimated by adding the intervention to epidemic models. During the Covid-19 epidemic, numerous papers used such…
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…