Journal of the Korean Statistical Society

Papers
(The TQCC of Journal of the Korean Statistical Society is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
Classification of repeated measurements using bias corrected Euclidean distance discriminant function12
A nonparametric binomial likelihood approach for causal inference in instrumental variable models10
Nonparametric longitudinal regression model to analyze shape data using the Procrustes rotation10
Gode: graph Fourier transform based outlier detection using empirical Bayesian thresholding8
A new active zero set descent algorithm for least absolute deviation with generalized LASSO penalty7
Meta-anova: screening interactions for interpretable machine learning7
Normality test in random coefficient autoregressive models6
Response-adaptive treatment randomization for trials comparing multiple treatments with ordinal responses5
Empirical likelihood for quantiles under strong mixing high-frequency data5
Large sample properties of maximum likelihood estimator using moving extremes ranked set sampling4
Exploring multiscale methods: reviews and insights4
Genetic algorithm with a Bayesian approach for multiple change-point detection in time series of counting exceedances for specific thresholds4
Generalized nonparametric asymmetric kernel regression estimator with responses missing for nonnegative stationary and ergodic data4
Bias-corrected penalized empirical likelihood for partial linear errors-in-variables models with longitudinal data4
Robust MAVE for single-index varying-coefficient models4
Optimal estimation of misclassification rate for two-class clustering with sub-Gaussian noises3
Flexible INAR(1) models for equidispersed, underdispersed or overdispersed counts3
Correction: Learning distribution-free anchored linear structural equation models in the presence of measurement error3
Adaptive posterior concentration rates for sparse high-dimensional linear regression with random design and unknown error variance3
Infinite diameter confidence sets in Hedges’ publication bias model3
A Bayesian method for multinomial probit model3
$$s_1^{n_1}$$-$$s_2^{n_2}$$ space-filling designs and projections based on level permutations3
Linear hypothesis testing in ultra high dimensional generalized linear mixed models2
Order selection with confidence for finite mixture models2
Data-driven estimation of change-points with mean shift2
On the use of supervised anomaly detection algorithms for extremely imbalanced data2
Estimation of the parameters of a Wishart extension on symmetric matrices2
$$L_1$$-penalized fraud detection support vector machines2
Correction: Robust MAVE for single-index varying-coefficient models2
Batch sequential adaptive designs for global optimization2
A maximum mean discrepancy-based autoencoder approach for dimension reduction with binary responses2
Bayesian empirical likelihood inference for the generalized binomial AR(1) model2
Deep quantile sequential generative framework for high-density data generation2
Modal regression with streaming data sets2
Block empirical likelihood inference for stochastic bounding: large deviations asymptotics under m-dependence2
A novel doubling-tripling-threshold accepting hybrid algorithm for constructing asymmetric space-filling designs2
Integrated volatility estimation: the case of observed noise variables2
Individual sliced minimum aberration designs for multi-platform experiments2
Byzantine-resilient decentralized network learning2
Robust variable selection for the varying index coefficient models2
Higher-order expansions of sample range from skew-normal distribution1
Asymptotic error of Bonferroni procedure under weak dependence via Chen–Stein method1
Variants of non-symmetric correspondence analysis for nominal and ordinal variables1
Robust estimation for a general functional single index model via quantile regression1
Quantile regression of partially linear varying coefficient models with nonignorable nonresponse data1
Implementation of the sequential optimal design strategy in Type-II progressive censoring with the GLM-based mechanism1
Community detection for networks based on Monte Carlo type algorithms1
Robust estimation of Gaussian linear structural equation models with equal error variances1
Improved control chart for statistical process control using combined X and delayed EWMA statistics1
A new non-iterative deterministic algorithm for constructing asymptotically orthogonal maximin distance Latin hypercube designs1
Logistic regression models for elastic shape of curves based on tangent representations1
Covariance projective resampling informative predictor subspace for multivariate regression1
Inference on the shape of densities on Riemannian manifolds via SiZer1
Generalized parametric help in Hilbertian additive regression1
Stopping rules for phase II clinical trials: an overview1
Deconvolution problem of cumulative distribution function with heteroscedastic errors1
Regression analysis of case II interval-censored data based on a joint model1
Causal interaction and effect modification: a randomization-based approach to inference1
An adaptive approach for testing high-dimensional location parameters with structured correlations1
Asymptotic results of error density estimator in nonlinear autoregressive models1
Revisiting feature selection for linear models with FDR and power guarantees1
Optimal designs for quasi-likelihood estimation in active controlled dose-finding trials1
Score tests for bivariate zero-inflated negative binomial regression model1
Autocovariance estimation in the presence of changepoints1
Estimation of Bergsma’s covariance1
The expectation–maximization approach for Bayesian additive Cox regression with current status data1
Correction: Extreme eigenvalues of principal minors of random matrices with moment conditions1
Return prediction by machine learning for the Korean stock market1
Double data piling: a high-dimensional solution for asymptotically perfect multi-category classification1
Sequential online monitoring for autoregressive time series of counts1
Change-point tests for parameters of diffusion processes from discrete observations1
Asymmetric kernel density estimation for biased data1
Penalized polygram regression1
Reduced-rank mean estimation for projective-resampling informative predictor subspace1
Construction of trend-free optimal block designs under some correlation structures1
Spatial regression with multiplicative errors, and its application with LiDAR measurements1
A novel high-order multivariate Markov model for spatiotemporal analysis with application to COVID-19 outbreak1
Model averaging by Jackknife criterion of varying-coefficient models for estimating heterogeneous causal effects1
Correction: Asymptotic error of bonferroni procedure under weak dependence via Chen–Stein method1
0.059038877487183