Journal of the Korean Statistical Society

Article	Citations
Gode: graph Fourier transform based outlier detection using empirical Bayesian thresholding	11
Classification of repeated measurements using bias corrected Euclidean distance discriminant function	11
Testing model adequacy and heteroscedasticity in parametric regression models with double resampling method	8
Nonparametric longitudinal regression model to analyze shape data using the Procrustes rotation	8
A nonparametric binomial likelihood approach for causal inference in instrumental variable models	6
A stochastic conjugate gradient algorithm with Armijo technique for machine learning	6
Change-point detection for interval-valued sequences based on the covering rectangle method	6
Exploring multiscale methods: reviews and insights	5
Normality test in random coefficient autoregressive models	5
Response-adaptive treatment randomization for trials comparing multiple treatments with ordinal responses	5
A new active zero set descent algorithm for least absolute deviation with generalized LASSO penalty	5
Bias-corrected penalized empirical likelihood for partial linear errors-in-variables models with longitudinal data	5
Genetic algorithm with a Bayesian approach for multiple change-point detection in time series of counting exceedances for specific thresholds	4
A Bayesian method for multinomial probit model	4
Large sample properties of maximum likelihood estimator using moving extremes ranked set sampling	4
Robust MAVE for single-index varying-coefficient models	4
Meta-anova: screening interactions for interpretable machine learning	4
Empirical likelihood for quantiles under strong mixing high-frequency data	4
$$L_1$$-penalized fraud detection support vector machines	3
$$s_1^{n_1}$$-$$s_2^{n_2}$$ space-filling designs and projections based on level permutations	3
Adaptive posterior concentration rates for sparse high-dimensional linear regression with random design and unknown error variance	3
Flexible INAR(1) models for equidispersed, underdispersed or overdispersed counts	3
Correction: Learning distribution-free anchored linear structural equation models in the presence of measurement error	3
Generalized nonparametric asymmetric kernel regression estimator with responses missing for nonnegative stationary and ergodic data	3
Optimal estimation of misclassification rate for two-class clustering with sub-Gaussian noises	3

Correction: Extreme eigenvalues of principal minors of random matrices with moment conditions	2
Correction: Asymptotic error of bonferroni procedure under weak dependence via Chen–Stein method	2
On the use of supervised anomaly detection algorithms for extremely imbalanced data	2
Deep quantile sequential generative framework for high-density data generation	2
Linear hypothesis testing in ultra high dimensional generalized linear mixed models	2
Estimation of the parameters of a Wishart extension on symmetric matrices	2
A maximum mean discrepancy-based autoencoder approach for dimension reduction with binary responses	2
Generalized parametric help in Hilbertian additive regression	2
Return prediction by machine learning for the Korean stock market	2
Inference on the shape of densities on Riemannian manifolds via SiZer	2
Block empirical likelihood inference for stochastic bounding: large deviations asymptotics under m-dependence	2
Byzantine-resilient decentralized network learning	2
Modal regression with streaming data sets	2
Integrated volatility estimation: the case of observed noise variables	2
Data-driven estimation of change-points with mean shift	2
Stopping rules for phase II clinical trials: an overview	2
Individual sliced minimum aberration designs for multi-platform experiments	2
A novel doubling-tripling-threshold accepting hybrid algorithm for constructing asymmetric space-filling designs	2
Robust variable selection for the varying index coefficient models	2
Order selection with confidence for finite mixture models	2
Correction: Robust MAVE for single-index varying-coefficient models	2
Optimal designs for quasi-likelihood estimation in active controlled dose-finding trials	1
Projective resampling estimation of informative predictor subspace for multivariate regression	1
Functional regression with dependent error and missing observation in reproducing kernel Hilbert spaces	1
Asymptotic error of Bonferroni procedure under weak dependence via Chen–Stein method	1
Brainpack: a suite of advanced statistical techniques for multi-subject and multi-group fMRI data analysis	1
Doubly sparse Cox proportional hazards model with a graphical structure among predictors	1
Quantile regression of partially linear varying coefficient models with nonignorable nonresponse data	1
Logistic regression models for elastic shape of curves based on tangent representations	1
Asymmetric kernel density estimation for biased data	1
Reduced-rank mean estimation for projective-resampling informative predictor subspace	1
Causal interaction and effect modification: a randomization-based approach to inference	1
Higher-order expansions of sample range from skew-normal distribution	1
Model averaging by Jackknife criterion of varying-coefficient models for estimating heterogeneous causal effects	1
Autocovariance estimation in the presence of changepoints	1
A novel high-order multivariate Markov model for spatiotemporal analysis with application to COVID-19 outbreak	1
Implementation of the sequential optimal design strategy in Type-II progressive censoring with the GLM-based mechanism	1
Partial linear regression of compositional data	1
Modeling and inferences for bounded multivariate time series of counts	1
Overparametrized linear regression with noisy and missing data	1
Construction of trend-free optimal block designs under some correlation structures	1
Change-point tests for parameters of diffusion processes from discrete observations	1
Regression analysis of case II interval-censored data based on a joint model	1
Penalized polygram regression	1
Double data piling: a high-dimensional solution for asymptotically perfect multi-category classification	1
Variants of non-symmetric correspondence analysis for nominal and ordinal variables	1
Score tests for bivariate zero-inflated negative binomial regression model	1
Revisiting feature selection for linear models with FDR and power guarantees	1
Deconvolution problem of cumulative distribution function with heteroscedastic errors	1
Estimation of Bergsma’s covariance	1

Community detection for networks based on Monte Carlo type algorithms	1
Bayesian pathway selection	1
Construction of optimal designs for quantile regression model via particle swarm optimization	1
Robust estimation for a general functional single index model via quantile regression	1
Online change-point detection in dynamic regression models with autocorrelated residuals	1
Asymptotic results of error density estimator in nonlinear autoregressive models	1
Sequential online monitoring for autoregressive time series of counts	1
An adaptive approach for testing high-dimensional location parameters with structured correlations	1
Schematic latin hypercube designs	1
Covariance projective resampling informative predictor subspace for multivariate regression	1
Spatial regression with multiplicative errors, and its application with LiDAR measurements	1
Improved control chart for statistical process control using combined X and delayed EWMA statistics	1
The expectation–maximization approach for Bayesian additive Cox regression with current status data	1
A new non-iterative deterministic algorithm for constructing asymptotically orthogonal maximin distance Latin hypercube designs	1
Ah-knockoff: false discovery rate control in high-dimensional additive hazards models	0
A multiple imputation approach for the Cox–Aalen cure model with interval-censored data	0
Publisher Correction: Optimal designs for quasi-likelihood estimation in active controlled dose-finding trials	0
A novel multiscale approach to independence testing	0
Bayesian shrinkage inference for seemingly unrelated regression models	0
Concentration inequalities for Kernel density estimators under uniform mixing	0
Nonparametric maximum likelihood estimation of the distribution function using ranked-set sampling	0
Statistical integration of allele frequencies from several organizations	0
Detection of multiple structural changes in matrix factor models	0
Finding an NARE whose minimal nonnegative solution represents first passage quantities in the two-dimensional Brownian motion	0
Estimating the optimal individualized treatment regime based on semiparametric model with Bernstein polynomials	0
Weighted average iterated filtering using p-generalized Gaussian smoothing	0
Estimation of average treatment effects under missing data using generative adversarial networks	0
A study of binomial AR(1) process with an alternative generalized binomial thinning operator	0
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks	0
Variable selection for semiparametric accelerated failure time models with nonignorable missing data	0
Mixture copulas with discrete margins and their application to imbalanced data	0
Kernel machine in semiparametric regression with nonignorable missing responses	0
Statistical size-and-shape analysis of elastic curves for brain tumors	0
Monitoring multivariate data with high missing rate by pooling univariate statistics	0
Use of ridge calibration method in predicting election results	0
Statistical properties of estimators in partially linear time-varying coefficient spatial autoregressive panel data model with fixed effects	0
Variable selection for single-index models based on martingale difference divergence	0
Multiple values-inflated bivariate INAR time series of counts: featuring zero–one inflated Poisson-Lindly case	0
The broken adaptive ridge estimation for the high-dimensional covariate-adjusted regression model	0
Building nonstationary extreme value model using L-moments	0
Monitoring parameter change for bivariate time series models of counts	0
A computationally efficient and flexible algorithm for high dimensional mean and covariance matrix change point models	0
From prediction to action: a framework for business closure analysis and LLM-based consulting strategy generation	0
On a new family of composite regression models with covariate dependent threshold via tail index parameter	0
Nonparametric tests for combined location-scale and Lehmann alternatives using adaptive approach and max-type metric	0
Jackknife model averaging for linear regression models with missing responses	0
Goodness of fit test for Rayleigh distribution with censored observations	0
Fusion penalized subgroup analysis for right censored data based on cox model with local approximation	0
Bayesian hierarchical spatial model for small-area estimation with non-ignorable nonresponses and its application to the NHANES dental caries data	0
Bayesian sparse seemingly unrelated regressions model with variable selection and covariance estimation via the horseshoe+	0
Semiparametrically imputed regression model for survival data	0
Matrix variate density estimation with additional information	0
Disseminating massive frequency tables by masking aggregated cell frequencies	0
Enhancing social media post popularity prediction with visual content	0
Dimensionality reduction through clustering of variables and canonical correlation	0
Penalized empirical likelihood for longitudinal expectile regression with growing dimensional data	0
Distributed smoothed rank regression with heterogeneous errors for massive data	0
Variance-mean mixture of multivariate normal distribution and weighted gamma distribution: properties and applications	0
Strong convergence of a nonparametric relative error regression estimator under missing data with functional predictors	0
Analysis of randomized response survival data in discrete-time	0
Zero-inflated Poisson-Akash distribution for count data with excessive zeros	0
Concordance correlation coefficients for multivariate measurements	0
Transformed function on scalar regression for random distribution	0
Asymptotic bias of the $$\ell _2$$-regularized error variance estimator	0
Scale invariant and efficient estimation for groupwise scaled envelope model	0
Interval-valued linear regression model with an asymmetric Laplace distribution	0
Heterogeneous treatment effects estimation with residualized LASSO and support vector machines	0
The phoropter method: a stochastic graphical procedure for prior elicitation in univariate data models	0
Comparison of two tests for seasonal variation	0
Sequential monitoring process for bivariate signed integer-valued autoregressive models	0
Optimal designs for comparing several regression curves	0
Outlier Detection for Histogram-Valued Data using Wasserstein Distance based One Class SVM	0
Using statistical models for optimal packaging in semiconductor manufacturing processes	0
A break test for the tail-event correlation matrix based on the self-normalization method	0
A comprehensive estimator for the Fréchet distribution: asymptotical efficiency, and practical applications to health studies	0
Corrected profile likelihood estimation for semiparametric varying-coefficient spatial autoregressive models with measurement errors	0
Asymptotic of the number of false change points of the fused lasso signal approximator	0
An index for measuring degree of departure from symmetry for ordinal square contingency tables	0
Correction: Sequential online monitoring for autoregressive time series of counts	0
Evaluating image generation models via sliced Wasserstein distance	0

A note on maximum likelihood estimation for mixture models	0
A bayesian non-parametric approach to dynamic conditional angular correlation model with application to portfolio optimization	0
A review on concomitants of order statistics and its application in parameter estimation under ranked set sampling	0
Gradient-based kernel variable selection for support vector hazards machine	0
A self-normalization test for structural breaks in a regression model for panel data sets	0
Structure learning of exponential family graphical model with false discovery rate control	0
Enhancing Forex market trend analysis with bidirectional long short-term memory and transformer attention network	0
Sequential Neural Joint Estimation for likelihood-free inference	0
Group-constrained latent Dirichlet allocation for fashion data analysis	0
A semi-parametric factor-GARCH model for high dimensional covariance matrix estimation	0
Spatially integrated estimator of finite population total by integrating data from two independent surveys using spatial information	0
Modeling and inferences for bivariate signed integer-valued autoregressive models	0
Goodness of fit test for uniform distribution with censored observation	0
Nelson-Aalen kernel estimator to the tail index of right censored Pareto-type data	0
Testing equivalence for three-arm trials with multinomial outcomes	0
Equivalence tests for the difference of two survival functions under the class of Box–Cox transformation model	0
Testing for conditional independence of survival time from covariate	0
Bayesian analysis of Box-Cox transformation model for multi-state progression-free survival data	0
Estimating mixed-memberships using the symmetric laplacian inverse matrix	0
The relationship between shape parameters and kurtosis in some relevant models	0
Adaptive log-wavelet density estimation with resolution identification	0
Extreme eigenvalues of principal minors of random matrices with moment conditions	0
Correction: Disseminating massive frequency tables by masking aggregated cell frequencies	0
Non-parametric comparison and classification of two large-scale populations	0
Improved multiple quantile regression estimation with nonignorable dropouts	0
A refreshing take on the inverted Dirichlet via a mode parameterization with some statistical illustrations	0
Sparse functional linear models via calibrated concave-convex procedure	0
Local asymptotic normality and optimal estimation for self-excited threshold generalized $$INAR\left( p\right)$$ models	0
Asymptotic normality of kernel functional regression estimator based upon twice censored data	0
Robust sparse covariance matrix estimation for high-dimensional compositional data under lower moment assumption	0
Two-sample test of stochastic block models via the maximum sampling entry-wise deviation	0
Sequential Monte Carlo ABC: an overview with application to COVID-19 data	0
Nonresponse adjusted estimation based on a composite weighting method in a panel survey	0
A directional index to measure the degree of asymmetry for square contingency tables	0
Robust coefficients of correlation or spatial autocorrelation based on implicit weighting	0
Parameter estimation for nth-order mixed fractional Brownian motion with polynomial drift	0
The modified Yule-Walker method for multidimensional infinite-variance periodic autoregressive model of order 1	0
Optimal designs for order-of-addition screening factorial experiments	0
Objective Bayesian inference for the reliability in a bivariate Lomax distribution	0
Specification test for high-dimensional partially linear varying coefficient spatial autoregressive model	0
Robust and Efficient derivative estimation under correlated errors	0
Online debiased lasso estimation and inference for heterogenous updating regressions	0
Objective Bayesian multiple testing for k normal populations	0
Learning distribution-free anchored linear structural equation models in the presence of measurement error	0
Garrotized kernel machine in semiparametric quantile regression	0
Testing independence of bivariate censored data using random walk on restricted permutation graph	0
Statistical inference of pth-order generalized binomial autoregressive model	0