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Heejong Bong
Heejong Bong
Postdoctoral Research Fellow, Department of Statistics, University of Michigan
Bestätigte E-Mail-Adresse bei umich.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Generalized results for the existence and consistency of the MLE in the Bradley-Terry-Luce model
H Bong, A Rinaldo
International Conference on Machine Learning, 2160-2177, 2022
142022
Nonparametric estimation in the dynamic Bradley-Terry model
H Bong, W Li, S Shrotriya, A Rinaldo
International Conference on Artificial Intelligence and Statistics, 3317-3326, 2020
142020
Latent dynamic factor analysis of high-dimensional neural recordings
H Bong, Z Liu, Z Ren, M Smith, V Ventura, RE Kass
Advances in neural information processing systems 33, 16446-16456, 2020
132020
Tight concentration inequality for sub-weibull random variables with generalized bernstien orlicz norm
H Bong, AK Kuchibhotla
arXiv preprint arXiv:2302.03850, 2023
62023
Latent cross-population dynamic time-series analysis of high-dimensional neural recordings
H Bong, V Ventura, M Smith, R Kass
Manuscript submitted for publication, 2020
42020
Frequentist inference for semi-mechanistic epidemic models with interventions
H Bong, V Ventura, L Wasserman
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024
32024
Identification of interacting neural populations: methods and statistical considerations
RE Kass, H Bong, M Olarinre, Q Xin, KN Urban
Journal of Neurophysiology 130 (3), 475-496, 2023
32023
Oscillating neural circuits: Phase, amplitude, and the complex normal distribution
KN Urban, H Bong, J Orellana, RE Kass
Canadian Journal of Statistics 51 (3), 824-851, 2023
22023
Discovery of Functional Predictivity across Brain Regions from Local Field Potentials
H Bong
Carnegie Mellon University, 2022
22022
High-dimensional Berry-Esseen Bound for -Dependent Random Samples
H Bong, AK Kuchibhotla, A Rinaldo
arXiv preprint arXiv:2212.05355, 2022
12022
Cross-population amplitude coupling in high-dimensional oscillatory neural time series
H Bong, V Ventura, EA Yttri, MA Smith, RE Kass
arXiv preprint arXiv:2105.03508, 2021
12021
Simultaneous inference in multiple matrix-variate graphs for high-dimensional neural recordings
Z Liu, H Bong, Z Ren, MA Smith, RE Kass
arXiv preprint arXiv:2410.15530, 2024
2024
Heterogeneous Treatment Effects under Network Interference: A Nonparametric Approach Based on Node Connectivity
H Bong, CB Fogarty, E Levina, J Zhu
arXiv preprint arXiv:2410.11797, 2024
2024
Addressing the Null Paradox in Epidemic Models: Correcting for Collider Bias in Causal Inference
H Bong, V Ventura, L Wasserman
arXiv preprint arXiv:2410.11743, 2024
2024
Unraveling Heterogeneous Treatment Effects in Networks: A Non-Parametric Approach Based on Node Connectivity
H Bong, CB Fogarty, L Levina, J Zhu
arXiv e-prints, arXiv: 2410.11797, 2024
2024
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’
H Bong, V Ventura, L Wasserman
Journal of the Royal Statistical Society Series A: Statistics in Society 186 …, 2023
2023
Dual Induction CLT for High-dimensional m-dependent Data
H Bong, AK Kuchibhotla, A Rinaldo
arXiv preprint arXiv:2306.14299, 2023
2023
Efficient Estimation of Distribution-free dynamics in the Bradley-Terry Model
H Bong, W Li, S Shrotriya
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