Statistics and Its Interface

Papers
(The TQCC of Statistics and Its Interface 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Pathway Lasso: pathway estimation and selection with high-dimensional mediators12
The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method9
Community detection for statistical citation network by D-SCORE8
Bayesian confidence intervals for variance of delta-lognormal distribution with an application to rainfall dispersion6
Estimation and diagnostics for partially linear censored regression models based on heavy-tailed distributions5
A robust nonlinear mixed-effects model for COVID-19 death data4
Rate-efficient asymptotic normality for the Fourier estimator of the leverage process4
Further study on testing the equality of response rates under Dallal’s model4
Multiple penalized regularization for clusters with varying correlation levels3
Robust regression model for ordinal response3
Spatial regression models for bounded response variables with evaluation of the degree of dependence3
A residual-based approach for robust random forest regression3
Covariate-adjusted hybrid principal components analysis for region-referenced functional EEG data3
A model checking method for the additive hazards model with multivariate current status data3
Regularized multiple mediation analysis2
Heterogeneity learning for SIRS model: an application to the COVID-192
Causal measures using generalized difference-in-difference approach with nonlinear models2
Hankel low-rank approximation and completion in time series analysis and forecasting: a brief review2
Bayesian estimation for partially linear varying coefficient spatial autoregressive models2
Extracting scalar measures from functional data with applications to placebo response2
Forecasting confirmed cases of the COVID-19 pandemic with a migration-based epidemiological model2
Bayesian zero-inflated growth mixture models with application to health risk behavior data2
A new $k$-nearest neighbors classifier for functional data2
A non-marginal variable screening method for the varying coefficient Cox model2
Multivariate frailty models using survey weights with applications to twins infant mortality in Ethiopia1
AutoSpec: detection of narrowband frequency changes in time series1
Feature screening via Bergsma–Dassios sign correlation learning1
Robust conditional spectral analysis of replicated time series1
Weakly informative priors and prior-data conflict checking for likelihood-free inference1
Online multiple learning with working sufficient statistics for generalized linear models in big data1
Variable selection for time-varying effects based on interval-censored failure time data1
Prior conditioned on scale parameter for Bayesian quantile LASSO and its generalizations1
Estimation of Hilbertian varying coefficient models1
Multivariate skew Laplace normal distribution for modeling skewness and heavy-tailedness in multivariate data sets1
Asymptotic in a class of network models with a difference private degree sequence1
Approximate hidden semi-Markov models for dynamic connectivity analysis in resting-state fMRI1
Distribution free prediction intervals for multiple functional regression1
Partial profile score feature selection in high-dimensional generalized linear interaction models1
Generalized Newton–Raphson algorithm for high dimensional LASSO regression1
A sequential Monte Carlo Gibbs coupled with stochastically approximated expectation-maximization algorithm for functional data1
Generalized Gaussian time series model for increments of EEG data1
Spatial Weibull regression with multivariate log gamma process and its applications to China earthquake economic loss1
Demystify Lindley’s paradox by connecting $p$-value and posterior probability1
Robust conditional spectral analysis of replicated time series1
Forecasting industrial production indices with a new singular spectrum analysis forecasting algorithm1
The more data, the better? Demystifying deletion-based methods in linear regression with missing data1
Multi-drug combination designs with experiments in silico1
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