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 2022-05-01 to 2026-05-01.)

Article	Citations
Classification of repeated measurements using bias corrected Euclidean distance discriminant function	11
Change-point detection for interval-valued sequences based on the covering rectangle method	10
Nonparametric longitudinal regression model to analyze shape data using the Procrustes rotation	8
Gode: graph Fourier transform based outlier detection using empirical Bayesian thresholding	8
A stochastic conjugate gradient algorithm with Armijo technique for machine learning	6
Testing model adequacy and heteroscedasticity in parametric regression models with double resampling method	6
Bias-corrected penalized empirical likelihood for partial linear errors-in-variables models with longitudinal data	5
Meta-anova: screening interactions for interpretable machine learning	5
Robust MAVE for single-index varying-coefficient models	5
Normality test in random coefficient autoregressive models	5
A nonparametric binomial likelihood approach for causal inference in instrumental variable models	5
Exploring multiscale methods: reviews and insights	5
A new active zero set descent algorithm for least absolute deviation with generalized LASSO penalty	5
Empirical likelihood for quantiles under strong mixing high-frequency data	4
Large sample properties of maximum likelihood estimator using moving extremes ranked set sampling	4
Genetic algorithm with a Bayesian approach for multiple change-point detection in time series of counting exceedances for specific thresholds	4
Response-adaptive treatment randomization for trials comparing multiple treatments with ordinal responses	4
A Bayesian method for multinomial probit model	4
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
$$L_1$$-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

Inference on the shape of densities on Riemannian manifolds via SiZer	2
Stopping rules for phase II clinical trials: an overview	2
Block empirical likelihood inference for stochastic bounding: large deviations asymptotics under m-dependence	2
Linear hypothesis testing in ultra high dimensional generalized linear mixed models	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
Return prediction by machine learning for the Korean stock market	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
Estimation of the parameters of a Wishart extension on symmetric matrices	2
Order selection with confidence for finite mixture models	2
Correction: Robust MAVE for single-index varying-coefficient models	2
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
Individual sliced minimum aberration designs for multi-platform experiments	2
Bayesian empirical likelihood inference for the generalized binomial AR(1) model	2
Byzantine-resilient decentralized network learning	2
Robust variable selection for the varying index coefficient models	2
A novel doubling-tripling-threshold accepting hybrid algorithm for constructing asymmetric space-filling designs	2
A maximum mean discrepancy-based autoencoder approach for dimension reduction with binary responses	2
Generalized parametric help in Hilbertian additive regression	2
Brainpack: a suite of advanced statistical techniques for multi-subject and multi-group fMRI data analysis	1
Overparametrized linear regression with noisy and missing data	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
Asymmetric kernel density estimation for biased data	1
Higher-order expansions of sample range from skew-normal distribution	1
Variants of non-symmetric correspondence analysis for nominal and ordinal variables	1
A novel high-order multivariate Markov model for spatiotemporal analysis with application to COVID-19 outbreak	1
Revisiting feature selection for linear models with FDR and power guarantees	1
Reduced-rank mean estimation for projective-resampling informative predictor subspace	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
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
Causal interaction and effect modification: a randomization-based approach to inference	1
Quantile regression of partially linear varying coefficient models with nonignorable nonresponse data	1
Double data piling: a high-dimensional solution for asymptotically perfect multi-category classification	1
Implementation of the sequential optimal design strategy in Type-II progressive censoring with the GLM-based mechanism	1
Construction of trend-free optimal block designs under some correlation structures	1
Asymptotic results of error density estimator in nonlinear autoregressive models	1
Sequential online monitoring for autoregressive time series of counts	1
Score tests for bivariate zero-inflated negative binomial regression model	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
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

Robust estimation for a general functional single index model via quantile regression	1
Construction of optimal designs for quantile regression model via particle swarm optimization	1
Asymptotic error of Bonferroni procedure under weak dependence via Chen–Stein method	1
An adaptive approach for testing high-dimensional location parameters with structured correlations	1
Doubly sparse Cox proportional hazards model with a graphical structure among predictors	1
Penalized polygram regression	1
Online change-point detection in dynamic regression models with autocorrelated residuals	1
Regression analysis of case II interval-censored data based on a joint model	1
Spatial regression with multiplicative errors, and its application with LiDAR measurements	1
Model averaging by Jackknife criterion of varying-coefficient models for estimating heterogeneous causal effects	1
Autocovariance estimation in the presence of changepoints	1
Covariance projective resampling informative predictor subspace for multivariate regression	1
Bayesian pathway selection	1