2025

Junhyoung Chung, Sungjin Lee, and Gunwoong Park. "Prediction of high-risk mountain accident areas using a Hurdle model"The Korean Journal of Applied Statistics
Shin, Joonho, Junhyoung Chung, Seyong Hwang, and Gunwoong Park. "Discovering Causal Structures in Corrupted Data: Frugality in Anchored Gaussian DAG Models." Computational Statistics & Data Analysis (2025): 108267. 
Oh, Sunmin, Seungsu Han, and Gunwoong Park. "Optimal estimation of linear non-Gaussian structure equation models." In International Conference on Artificial Intelligence and Statistics, pp. 748-756. PMLR, 2025. 

Lee Donghyun, Hur Yongseok, Kang Byeongguk and Gunwoong Park. "Statistical Analysis of Employment Status One Year Post-Unemployment."  The Korean Journal of applied Statistics, 38(3), 357-371.

Ahn, Youngmin, Woongjoon Park, and Gunwoong Park. 

"Discretization: Privacy-preserving data publishing for causal discovery."Computational Statistics & Data Analysis 209 (2025): 108174. 
2024
Junhyoung Chung, Youngmin Ahn, Donguk Shin, and Gunwoong Park"Learning distribution-free anchored linear structural equation models in the presence of measurement error." Journal of the Korean Statistical Society (2024): 1-25. 
Chung, Junhyoung, Donguk Shin, Seyong Hwang, and Gunwoong Park. "Horse race rank prediction using learning-to-rank approaches"The Korean Journal of Applied Statistics, 37(2), 239-253. 
Choi, Semin, and Gunwoong Park. "Asymptotic bias of the ℓ 2-regularized error variance estimator." Journal of the Korean Statistical Society 53.1 (2024): 132-148. 
2023
Choi, Semin, Yesool Kim, and Gunwoong Park."Densely connected sub-Gaussian linear structural equation model learning via ℓ1- and ℓ2-regularized regressions"Computational Statistics & Data Analysis 181 (2023): 107691. 
Park, Gunwoong. "Computationally Efficient Learning of Gaussian Linear Structural Equation Models with Equal Error Variances." Journal of Computational and Graphical Statistics (2023): 1-26. 
2022
Park, Sion, and Gunwoong Park."Robust Estimation of Gaussian Linear Structural Equation Models with Equal Error Variances"Journal of the Korean Statistical Society (2022): 1-22.
Choi, Yunjin, Jaemin Lee, and Gunwoong Park. "Comparison of Attributed Network Clustering Approaches to Analyzing Seoul Public Bike Stations." Stat: e415.
2021
Cho, Hyuna, Gunwoong Park, Amal Isaiah, and Won Hwa Kim."Covariate Correcting Networks for identifying Associations between Socioeconomic Factors and Brain Outcomes in Children"Medical Image Computing and Computer Assisted Interventions (2021)
Park, Gunwoong, Sangjoon Moon, Sion Park, and Jong-June Jeon."Learning a High-dimensional Linear Structural Equation Model via L1-regularized Regression"Journal of Machine Learning Research 22.102 (2021): 1-41.
Park , Gunwoong, and Yesool Kim."Learning High-Dimensional Gaussian Linear Structural Equation Models With Heterogeneous Error Variances"Computational Statistics & Data Analysis 154: 107084 (2021)
2020 
Kim, Yesool, Sion Park, and Gunwoong Park."Analysis of the Seoul Public Bikes Usage for New Rental Locations"The Korean Journal of Applied Statistics 33(6), 739-751
Kim, Youngwhan, Yesool Kim, and Gunwoong Park."Gaussian linear structural equation model learning using prior information"The Korean Data & Information Science Society 31.4 (2020): 489-500
Park, Gunwoong."Identifiability of Additive Noise Models Using Conditional Variances"Journal of Machine Learning Research 21.75 (2020): 1-34. 
Park, Gunwoong and Youngwhan Kim."Identifiability of Gaussian Structural Equation Models with Homogeneous and Heterogeneous Error Variances"Journal of the Korean Statistical Society 49.1 (2020): 276-292. 
2019
Park, Hyewon and Gunwoong Park."A Poisson directed acyclic graphical model for analyzing Korean baseball batter’s characteristics"The Korean Data & Information Science Society 30.4 (2019): 873-884. 
Park, Gunwoong and Sion Park."Estimating High-dimensional Poisson DAG Models via L1-regularized Regression"Journal of Machine Learning Research 20.95 (2019): 1-41. 
Park, Gunwoong and Hyewon Park."Identifiability of Generalized Hypergeometric Distribution (GHD) Directed Acyclic Graphical Models"The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019
Park, Gunwoong."Discovering Micro Dust Pathway via Directed Acyclic Graphical Models"The Korean Data & Information Science Society (KDISS) 2019
~ 2018
Park, Gunwoong, and Garvesh Raskutti."Learning Quadratic Variance Function (QVF) DAG models via OverDispersion Scoring (ODS)."The Journal of Machine Learning Research 18.1 (2017): 8300-8342. 
Park, Gunwoong, and Garvesh Raskutti."Learning large-scale poisson dag models based on overdispersion scoring."Advances in neural information processing systems. 2015. 
Park, Gunwoong, and Garvesh Raskutti."Identifiability Assumptions and Algorithm for Directed Graphical Models with Feedback"

On-going Works
Hwang, Seyong, Kyoungjae Lee, Sunmin Oh, and Gunwoong ParkBayesian Approach to Linear Bayesian Networksunder review 2024+
Park, Gunwoong.Comparison of Identifiable Linear SEMs  [Graph R-Code] [Simulation R-Code]under review 2024+
Euijong Song, Gunwoong ParkOutlier-Robust Approach for High-dimensional Gaussian linear Structural Equation Modelunder review 2025
Shin, Dognguk, Seunghwan Noh, and Gunwoong ParkIdentifiability of Measurement Error Variance in Sparse Error‑in‑Variables Regression[On going]
Byeongguk Kang, Shin, Dognguk, and Gunwoong ParkHigh-Dimensional SEM Learning with Measurement Error[On going]
Sunmin Oh, Gunwoong ParkLearning Linear SEM using Incomplete and Sparse Cholesky Decomposition[On going]

Oh, Sunmin, Donguk Shin,  Youngmin Ahn, and Gunwoong ParkOptimal Backward-Learning Approach for Gaussian Linear Structural Equation Modelsunder review 2023 [Pending]
Shin, Dognguk, and Gunwoong ParkForward Learning of  High-dimenional Linear Structural Equation Models.under review 2024+ [Pending]

Youngmin Ahn and Gunwoong ParkCausal Discovery in the Presence of Round-off Error[Pending]
Gunwoong ParkPoissonian-Gaussian Linear Structural Equation Model Learningunder review 2024+ [Pending]
Park, Gunwoong.Learning High-dimensional Gaussian Graphical Models Using Both Neighborhood Selections and Partial Correlations[Pending]
Park, Gunwoong.Learning Count Markov Random Fields using the Cramer-von Mises Distance[Pending]

Future Works
Park, Gunwoong.Estimation of Difference Between Two Gaussian Linear SEMs using an Interaction model. 
Park, Gunwoong
Fast Estimation of Linear Structural Equation Models via Score Update 
Park, Gunwoong
Community Detection using the Fucnctional Relationships Between Covariates 
Park, Gunwoong.Exponential Distribution DAG models for Skewed Data
Park, Gunwoong.DAG models for Ordered Data