The Journal of the Korean Statistical Society publishes research articles that make original contributions to the theory and methodology of statistics and probability. It also welcomes papers on innovative applications of statistical methodology, as well as papers that give an overview of current topic of statistical research with judgements about promising directions for future work. The journal welcomes contributions from all countries.
《韩国统计学会杂志》发表对统计学和概率论的理论和方法做出原创性贡献的研究文章。委员会还欢迎关于统计方法创新应用的论文，以及给予统计研究当前专题并对未来工作的有希望的方向作出判断的论文。该杂志欢迎所有国家的投稿。
Bernstein conditional density estimation with application to conditional distribution and regression functions
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2019.05.005
Investigating dependence between frequency and severity via simple generalized linear models
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.07.003
Quantile forecasts for financial volatilities based on parametric and asymmetric models
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.08.005
Additive time-dependent hazard model with doubly truncated data
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.10.005
A volume based approach to establish B-spline based expressions for density functions and its application to progressive hybrid censoring
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2019.04.002
A class of observation-driven random coefficient INAR(1) processes based on negative binomial thinning
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.11.004
Complete convergence for arrays of rowwise END random variables and its statistical applications under sub-linear expectations
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.12.002
Principal weighted logistic regression for sufficient dimension reduction in binary classification
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.11.001
Pseudo MLE for semiparametric transformation model with doubly truncated data
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.12.003
A Comparison of Monte Carlo Methods for Computing Marginal Likelihoods of Item Response Theory Models.
来源期刊：Journal of the Korean Statistical SocietyDOI：10.1016/J.JKSS.2019.04.001
A systematic review on model selection in high-dimensional regression
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.10.001
Estimation for varying coefficient partially nonlinear models with distorted measurement errors
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.09.001
Bayesian curve fitting and clustering with Dirichlet process mixture models for microarray data
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.11.002
An omnibus two-sample test for ranked-set sampling data
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.08.008
Unstructured principal fitted response reduction in multivariate regression
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2019.02.001
Mass imputation for two-phase sampling
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2019.03.002
Review: Reversed low-rank ANOVA model for transforming high dimensional genetic data into low dimension
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.10.002
A new orthogonality-based estimation for varying-coefficient partially linear models
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.08.001
Improved estimation of the smallest scale parameter of gamma distributions
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.08.007
Generalized growth curve models for longitudinal data in application to a randomized controlled trial
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.08.003
A nonparametric inverse probability weighted estimation for functional data with missing response data at random
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2019.05.001
The generalized Cucconi test statistic for the two-sample problem
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2019.05.004
Stable feature screening for ultrahigh dimensional data
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.11.003
A modified LGB method for detecting significant effects based on a half-normal probability plot
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2019.01.002
Accelerated failure time models for the analysis of competing risks
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.10.003
Hypothesis testing via a penalized-likelihood approach
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.11.005
Novel nomogram based on risk factors of chronic obstructive pulmonary disease (COPD) using a naïve Bayesian classifier model
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.11.006
The optimal third moment theorem
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2019.03.003
Diagnostic measures for kernel ridge regression on reproducing kernel Hilbert space
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2019.01.003
Asymptotic normality and mean consistency for the weighted estimator in nonparametric regression models
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2019.01.004
Removing the singularity of a penalty via thresholding function matching
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2019.03.004
Four comments for the paper from Liu et al. (2019)
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2019.07.005
Frequency domain bootstrap for ratio statistics under long-range dependence
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2019.03.001
High-dimensional grouped folded concave penalized estimation via the LLA algorithm
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.08.006
Extreme quantiles and tail index of a distribution based on kernel estimator
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.09.002
Efficient and flexible model-based clustering of jumps in diffusion processes
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2019.05.002
Multi-arm response-adaptive designs for circular responses
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2019.03.005
Marginalized lasso in sparse regression
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.12.004
Posterior consistency in frailty models and simulation studies to test the presence of random effects
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.10.004
Mixtures of Gaussian copula factor analyzers for clustering high dimensional data
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.12.001
Omega model for a jump–diffusion process with a two-step premium rate
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2019.01.005
Balanced augmented empirical likelihood for regression models
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.10.006
Conditional variance estimation via nonparametric generalized additive models
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.11.007
A method for high-dimensional smoothing
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2018.08.004
Improved exact confidence intervals for a proportion using ranked-set sampling
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2019.05.003
Variance function estimation of a one-dimensional nonstationary process
来源期刊：Journal of The Korean Statistical SocietyDOI：10.1016/J.JKSS.2019.01.001
