OOIR: Observatory of International Research

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 2022-08-01 to 2026-08-01.)

Article	Citations
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
Gode: graph Fourier transform based outlier detection using empirical Bayesian thresholding	8
A stochastic conjugate gradient algorithm with Armijo technique for machine learning	7
Nonparametric longitudinal regression model to analyze shape data using the Procrustes rotation	7
A nonparametric binomial likelihood approach for causal inference in instrumental variable models	6
A new active zero set descent algorithm for least absolute deviation with generalized LASSO penalty	5
Genetic algorithm with a Bayesian approach for multiple change-point detection in time series of counting exceedances for specific thresholds	5
Normality test in random coefficient autoregressive models	5
Bias-corrected penalized empirical likelihood for partial linear errors-in-variables models with longitudinal data	5
Change-point detection for interval-valued sequences based on the covering rectangle method	5
Exploring multiscale methods: reviews and insights	5
Empirical likelihood for quantiles under strong mixing high-frequency data	4
Response-adaptive treatment randomization for trials comparing multiple treatments with ordinal responses	4
Large sample properties of maximum likelihood estimator using moving extremes ranked set sampling	4
Robust MAVE for single-index varying-coefficient models	4
Optimal estimation of misclassification rate for two-class clustering with sub-Gaussian noises	3
Generalized nonparametric asymmetric kernel regression estimator with responses missing for nonnegative stationary and ergodic data	3
Correction: Learning distribution-free anchored linear structural equation models in the presence of measurement error	3
Meta-anova: screening interactions for interpretable machine learning	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
A Bayesian method for multinomial probit model	3
Flexible INAR(1) models for equidispersed, underdispersed or overdispersed counts	3
A new component estimation method for generalized multilevel functional regression model	3

Deep quantile sequential generative framework for high-density data generation	2
Robust variable selection for the varying index coefficient models	2
Linear hypothesis testing in ultra high dimensional generalized linear mixed models	2
On the use of supervised anomaly detection algorithms for extremely imbalanced data	2
Data-driven estimation of change-points with mean shift	2
Return prediction by machine learning for the Korean stock market	2
Clustering functional data using a predictive likelihood	2
Byzantine-resilient decentralized network learning	2
$$L_1$$-penalized fraud detection support vector machines	2
Integrated volatility estimation: the case of observed noise variables	2
A maximum mean discrepancy-based autoencoder approach for dimension reduction with binary responses	2
Inference on the shape of densities on Riemannian manifolds via SiZer	2
Generalized parametric help in Hilbertian additive regression	2
A novel doubling-tripling-threshold accepting hybrid algorithm for constructing asymmetric space-filling designs	2
Modal regression with streaming data sets	2
Correction: Robust MAVE for single-index varying-coefficient models	2
Block empirical likelihood inference for stochastic bounding: large deviations asymptotics under m-dependence	2
Order selection with confidence for finite mixture models	2
Stopping rules for phase II clinical trials: an overview	2
Individual sliced minimum aberration designs for multi-platform experiments	2
Doubly sparse Cox proportional hazards model with a graphical structure among predictors	1
Correction: Disseminating massive frequency tables by masking aggregated cell frequencies	1
A Bayesian adaptive randomization design for many-to-one comparison in multi-arm clinical trials	1
Quantile regression of partially linear varying coefficient models with nonignorable nonresponse data	1
Asymmetric kernel density estimation for biased data	1
Sequential online monitoring for autoregressive time series of counts	1
Causal interaction and effect modification: a randomization-based approach to inference	1
Score tests for bivariate zero-inflated negative binomial regression model	1
The expectation–maximization approach for Bayesian additive Cox regression with current status data	1
Higher-order expansions of sample range from skew-normal distribution	1
Estimation of Bergsma’s covariance	1
Community detection for networks based on Monte Carlo type algorithms	1
Sparse functional linear models via calibrated concave-convex procedure	1
Bayesian pathway selection	1
Functional regression with dependent error and missing observation in reproducing kernel Hilbert spaces	1
Correction: Extreme eigenvalues of principal minors of random matrices with moment conditions	1
Asymptotic results of error density estimator in nonlinear autoregressive models	1
Asymptotic error of Bonferroni procedure under weak dependence via Chen–Stein method	1
Regression analysis of case II interval-censored data based on a joint model	1
Penalized polygram regression	1
Variants of non-symmetric correspondence analysis for nominal and ordinal variables	1
Improved control chart for statistical process control using combined X and delayed EWMA statistics	1
Schematic latin hypercube designs	1
Model averaging by Jackknife criterion of varying-coefficient models for estimating heterogeneous causal effects	1
Correction: Asymptotic error of bonferroni procedure under weak dependence via Chen–Stein method	1
Optimal designs for quasi-likelihood estimation in active controlled dose-finding trials	1
A new non-iterative deterministic algorithm for constructing asymptotically orthogonal maximin distance Latin hypercube designs	1
Modeling and inferences for bounded multivariate time series of counts	1
Construction of optimal designs for quantile regression model via particle swarm optimization	1
Double data piling: a high-dimensional solution for asymptotically perfect multi-category classification	1

Overparametrized linear regression with noisy and missing data	1
Online change-point detection in dynamic regression models with autocorrelated residuals	1
Change-point tests for parameters of diffusion processes from discrete observations	1
Logistic regression models for elastic shape of curves based on tangent representations	1
Construction of trend-free optimal block designs under some correlation structures	1
An adaptive approach for testing high-dimensional location parameters with structured correlations	1
Covariance projective resampling informative predictor subspace for multivariate regression	1
Reduced-rank mean estimation for projective-resampling informative predictor subspace	1
Spatial regression with multiplicative errors, and its application with LiDAR measurements	1
Deconvolution problem of cumulative distribution function with heteroscedastic errors	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
Kernel machine in semiparametric regression with nonignorable missing responses	1
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks	1
Brainpack: a suite of advanced statistical techniques for multi-subject and multi-group fMRI data analysis	1