publications

2024

  1. JRSSB
    Frequentist Inference for Semi-Mechanistic Epidemic Models with Interventions
    Bong, Heejong, Ventura, Valérie, and Wasserman, Larry
    Forthcoming in the Journal of the Royal Statistical Society Series B: Statistical Methodology 2024
    arXiv
  2. Addressing the Null Paradox in Epidemic Models: Correcting for Collider Bias in Causal Inference
    Bong, Heejong, Ventura, Valérie, and Wasserman, Larry
    arXiv preprint 2024
    arXiv PDF
  3. Heterogeneous Treatment Effects under Network Interference: A Nonparametric Approach Based on Node Connectivity
    Bong, Heejong, Fogarty, Colin B, Levina, Elizaveta, and Zhu, Ji
    arXiv preprint 2024
    arXiv
  4. Simultaneous Inference in Multiple Matrix-Variate Graphs for High-Dimensional Neural Recordings
    Liu, Zongge,  Bong, Heejong, Ren, Zhao, Smith, Matt A, and Kass, Rob E
    arXiv preprint, Submitted 2024
    arXiv

2023

  1. Tight concentration inequality for sub-Weibull random variables with generalized Bernstien Orlicz norm
    Bong, Heejong, and Kuchibhotla, Arun K
    arXiv preprint 2023
    arXiv
  2. CJS
    Oscillating neural circuits: Phase, amplitude, and the complex normal distribution
    Urban, Konrad N,  Bong, Heejong, Orellana, Josue, and Kass, Robert E
    Canadian Journal of Statistics 2023
    PDF
  3. JNP
    Identification of interacting neural populations: methods and statistical considerations
    Kass, Robert E,  Bong, Heejong, Olarinre, Motolani, Xin, Qi, and Urban, Konrad N
    Journal of Neurophysiology 2023
    PDF
  4. Dual induction CLT for high-dimensional m-dependent Data
    Bong, Heejong, Kuchibhotla, Arun K, and Rinaldo, Alessandro
    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’
    Bong, Heejong, Ventura, Valérie, and Wasserman, Larry
    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
    Bong, Heejong, and Rinaldo, Alessandro
    In International Conference on Machine Learning 2022
    arXiv Code Video
  2. High-dimensional Berry-Esseen bound for m-dependent random samples
    Bong, Heejong, Kuchibhotla, Arun K, and Rinaldo, Alessandro
    arXiv preprint 2022
    arXiv

2021

  1. Latent cross-population dynamic time-series analysis of high-dimensional neural recordings
    Bong, Heejong, Ventura, Valérie, Yttri, Eric A, Smith, Matthew A, and Kass, Robert E
    arXiv preprint 2021
    arXiv Code

2020

  1. AISTATS
    Nonparametric estimation in the dynamic Bradley-Terry model
    Bong, Heejong, Li, Wanshan, Shrotriya, Shamindra, and Rinaldo, Alessandro
    International Conference on Artificial Intelligence and Statistics 2020
    Code
  2. NeurIPS
    Latent dynamic factor analysis of high-dimensional neural recordings
    Bong, Heejong, Liu, Zongge, Ren, Zhao, Smith, Matthew, Ventura, Valerie, and Robert, Kass E
    Advances in Neural Information Processing Systems 2020
    Code Video Poster

2019

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