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Korean J Appl Stat 2025;38:1-101
Methodology and Applicationss
A comparison study of weighting-based estimators for average treatment effects on the treated in case of rare exposure
Eun-Kyoung Lee, Young-Geun Choi
Korean J Appl Stat 2025;38:1-12
Bayesian multivariate spatio-temporal model for quasi-sparse count data
Hyunju Kang, Kyoungjae Lee
Korean J Appl Stat 2025;38:13-27
Applying multilevel regression to ordered response variables: an analysis of trust in the prosecutor’s office
Hyewon Kim, Jinsoo Hwang, Youjin Kim
Korean J Appl Stat 2025;38:29-44
Comparative study of deep learning methods for survival outcomes: applications to SEER data
Keunho Park, Eun Jeong Min
Korean J Appl Stat 2025;38:45-62
Preliminary estimation for identifying transfer function model with multiple input series
Moosup Kim
Korean J Appl Stat 2025;38:63-77
SHAP explanation of machine learning forecasting of PM10 concentration
Byungjun Ko, Chaewon Lee, Taedong Kang, Ji Eun Choi
Korean J Appl Stat 2025;38:79-88
Data Analysis and Case Studies
What is the secret behind lotto numbers? - Reflections on the fairness of the lotto and winning numbers
Woojin Jeong, Woncheol Jang
Korean J Appl Stat 2025;38:89-101
KJAS e-Submission go
The Journal of publishes research articles that make original contributions to the theory and methodology of statistics and probability. It also welcomes papers on innovative applications of statistical ...
Deep learning-based speech recognition for Korean elderly speech data including dementia patients
Jeonghyeon Mun, Joonseo Kang, Kiwoong Kim, Jongbin Bae, Hyeonjun Lee, Changwon Lim
Received October 10, 2022; Accepted December 13, 2022.
Horse race rank prediction using learning-to-rank approaches
Junhyoung Chung, Donguk Shin, Seyong Hwang, Gunwoong Park
Received September 24, 2023; Accepted November 27, 2023.
A review of gene selection methods based on machine learning approaches
Hajoung Lee, Jaejik Kim
Received August 18, 2022; Accepted August 25, 2022.