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 2021-04-01 to 2025-04-01.)

Article	Citations
Special Issue on the 50th Anniversary of the Korean Statistical Society	11
Fusion penalized subgroup analysis for right censored data based on cox model with local approximation	9
Integrated volatility estimation: the case of observed noise variables	7
Sequential Monte Carlo ABC: an overview with application to COVID-19 data	6
A multiple imputation approach for the Cox–Aalen cure model with interval-censored data	4
Gode: graph Fourier transform based outlier detection using empirical Bayesian thresholding	4
Fourth moment bound and stationary Gaussian processes with positive correlation	4
Using statistical models for optimal packaging in semiconductor manufacturing processes	4
Classification of repeated measurements using bias corrected Euclidean distance discriminant function	4
Asymptotic normality of kernel functional regression estimator based upon twice censored data	4
Correction to: Regression-based mediation analysis: a formula for the bias due to an unobserved precursor variable	3
Penalized relative error estimation of functional multiplicative regression models with locally sparse properties	3
Monitoring multivariate data with high missing rate by pooling univariate statistics	3
Outside barrier lookback options with floating strike	3
Autocovariance estimation in the presence of changepoints	3
Asymptotic approximations for some distributions of ratios	2
Data-driven estimation of change-points with mean shift	2
Optimal designs for comparing several regression curves	2
A novel high-order multivariate Markov model for spatiotemporal analysis with application to COVID-19 outbreak	2
A generalized Agresti–Coull type confidence interval for a binomial proportion	2
Batch sequential adaptive designs for global optimization	2
Structure learning of exponential family graphical model with false discovery rate control	2
Order selection with confidence for finite mixture models	2
Sparse functional linear models via calibrated concave-convex procedure	2
Construction of trend-free optimal block designs under some correlation structures	2

Efficient information-based criteria for model selection in quantile regression	2
Testing independence of bivariate censored data using random walk on restricted permutation graph	2
A new non-iterative deterministic algorithm for constructing asymptotically orthogonal maximin distance Latin hypercube designs	2
Enhancing social media post popularity prediction with visual content	2
SportLight: statistically principled crowdsourcing method for sports highlight selection	2
A nonparametric binomial likelihood approach for causal inference in instrumental variable models	2
Nonparametric longitudinal regression model to analyze shape data using the Procrustes rotation	1
A break test for the tail-event correlation matrix based on the self-normalization method	1
Implementation of the sequential optimal design strategy in Type-II progressive censoring with the GLM-based mechanism	1
Penalized empirical likelihood for longitudinal expectile regression with growing dimensional data	1
Optimal estimation of misclassification rate for two-class clustering with sub-Gaussian noises	1
Equivalence tests for the difference of two survival functions under the class of Box–Cox transformation model	1
Correction: Sequential online monitoring for autoregressive time series of counts	1
Asymptotic of the number of false change points of the fused lasso signal approximator	1
Return prediction by machine learning for the Korean stock market	1
Community detection for networks based on Monte Carlo type algorithms	1
Self-weighted quantile estimation of autoregressive conditional duration model	1
Garrotized kernel machine in semiparametric quantile regression	1
Nonresponse adjusted estimation based on a composite weighting method in a panel survey	1
Covariance projective resampling informative predictor subspace for multivariate regression	1
Online debiased lasso estimation and inference for heterogenous updating regressions	1
Kernel machine in semiparametric regression with nonignorable missing responses	1
Genetic algorithm with a Bayesian approach for multiple change-point detection in time series of counting exceedances for specific thresholds	1
Variants of non-symmetric correspondence analysis for nominal and ordinal variables	1
Modeling and inferences for bivariate signed integer-valued autoregressive models	1
An adaptive approach for testing high-dimensional location parameters with structured correlations	1
A computationally efficient and flexible algorithm for high dimensional mean and covariance matrix change point models	1
Robust MAVE for single-index varying-coefficient models	1
Regularized linear censored quantile regression	1
Multiple values-inflated bivariate INAR time series of counts: featuring zero–one inflated Poisson-Lindly case	1
Large sample properties of maximum likelihood estimator using moving extremes ranked set sampling	1
Robust and Efficient derivative estimation under correlated errors	1
Goodness of fit test for Rayleigh distribution with censored observations	1
Robust coefficients of correlation or spatial autocorrelation based on implicit weighting	1
Inference on the shape of densities on Riemannian manifolds via SiZer	1
Use of ridge calibration method in predicting election results	1
Penalized polygram regression	1
Extreme eigenvalues of principal minors of random matrices with moment conditions	1
Generalized parametric help in Hilbertian additive regression	1
Bayesian analysis of Box-Cox transformation model for multi-state progression-free survival data	1
Empirical likelihood for quantiles under strong mixing high-frequency data	1
Asymptotic equivalence between frequentist and Bayesian prediction limits for the Poisson distribution	1
Evaluating the adequacy of variance function using pairwise distances	1
A new active zero set descent algorithm for least absolute deviation with generalized LASSO penalty	1
Distributed smoothed rank regression with heterogeneous errors for massive data	1
Testing linear hypothesis of high-dimensional means with unequal covariance matrices	1
Normality test in random coefficient autoregressive models	1
Meta-anova: screening interactions for interpretable machine learning	1
The phoropter method: a stochastic graphical procedure for prior elicitation in univariate data models	1