publications

2025

  1. JRSSB
    Frequentist inference for semi-mechanistic epidemic models with interventions
    Heejong Bong, Valérie Ventura, and Larry Wasserman
    Journal of the Royal Statistical Society Series B: Statistical Methodology, 2025
    arXiv
  2. Heterogeneous Treatment Effects under Network Interference: A Nonparametric Approach Based on Node Connectivity
    Heejong Bong, Colin B Fogarty, Elizaveta Levina, and 1 more author
    arXiv preprint, Submitted, 2025
    arXiv Code

2024

  1. Causal Inference for Epidemic Models
    Heejong Bong, Valérie Ventura, and Larry Wasserman
    arXiv preprint, Under revision, 2024
    arXiv
  2. Simultaneous Inference in Multiple Matrix-Variate Graphs for High-Dimensional Neural Recordings
    Zongge Liu, Heejong Bong, Zhao Ren, and 2 more authors
    arXiv preprint, Under revision, 2024
    arXiv

2023

  1. Tight concentration inequality for sub-Weibull random variables with generalized Bernstien Orlicz norm
    Heejong Bong and Arun K Kuchibhotla
    arXiv preprint, Under revision, 2023
    arXiv
  2. CJS
    Oscillating neural circuits: Phase, amplitude, and the complex normal distribution
    Konrad N Urban, Heejong Bong, Josue Orellana, and 1 more author
    Canadian Journal of Statistics, 2023
  3. JNP
    Identification of interacting neural populations: methods and statistical considerations
    Robert E Kass, Heejong Bong, Motolani Olarinre, and 2 more authors
    Journal of Neurophysiology, 2023
  4. Dual induction CLT for high-dimensional m-dependent Data
    Heejong Bong, Arun K Kuchibhotla, and Alessandro Rinaldo
    arXiv preprint, Under revision, 2023
    arXiv
  5. JRSSA
    Heejong Bong, Valerie Ventura and Larry Wasserman’s contribution to the Discussion of ‘The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic’
    Heejong Bong, Valérie Ventura, and Larry Wasserman
    Journal of the Royal Statistical Society Series A: Statistics in Society, 2023

2022

  1. ICML
    Generalized results for the existence and consistency of the MLE in the Bradley-Terry-Luce model
    Heejong Bong and Alessandro Rinaldo
    In International Conference on Machine Learning, 2022
    arXiv Video Code
  2. High-dimensional Berry-Esseen bound for m-dependent random samples
    Heejong Bong, Arun K Kuchibhotla, and Alessandro Rinaldo
    arXiv preprint, 2022
    arXiv

2021

  1. Latent cross-population dynamic time-series analysis of high-dimensional neural recordings
    Heejong Bong, Valérie Ventura, Eric A Yttri, and 2 more authors
    arXiv preprint, Under revision, 2021
    arXiv Code

2020

  1. AISTATS
    Nonparametric estimation in the dynamic Bradley-Terry model
    Heejong Bong, Wanshan Li, Shamindra Shrotriya, and 1 more author
    International Conference on Artificial Intelligence and Statistics, 2020
    Code
  2. NeurIPS
    Latent dynamic factor analysis of high-dimensional neural recordings
    Heejong Bong, Zongge Liu, Zhao Ren, and 3 more authors
    Advances in Neural Information Processing Systems, 2020
    Video Code

2019

  1. CMSAC
    Efficient estimation of distribution-free dynamics in the Bradley-Terry Model
    Heejong Bong, Wanshan Li, and Shamindra Shrotriya
    In Carnegie Mellon Sports Analytics Conference, 2019
    Code