OOIR: Observatory of International Research

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 2020-11-01 to 2024-11-01.)

Article	Citations
Pathway Lasso: pathway estimation and selection with high-dimensional mediators	19
The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method	10
Community detection for statistical citation network by D-SCORE	9
Rate-efficient asymptotic normality for the Fourier estimator of the leverage process	7
Bayesian confidence intervals for variance of delta-lognormal distribution with an application to rainfall dispersion	7
Estimation and diagnostics for partially linear censored regression models based on heavy-tailed distributions	5
A robust nonlinear mixed-effects model for COVID-19 death data	5
Hankel low-rank approximation and completion in time series analysis and forecasting: a brief review	4
Regularized multiple mediation analysis	4
Further study on testing the equality of response rates under Dallal’s model	4
A model checking method for the additive hazards model with multivariate current status data	3
Heterogeneity learning for SIRS model: an application to the COVID-19	3
Causal measures using generalized difference-in-difference approach with nonlinear models	3
Multiple penalized regularization for clusters with varying correlation levels	3
Spatial regression models for bounded response variables with evaluation of the degree of dependence	3
Partial profile score feature selection in high-dimensional generalized linear interaction models	3
A residual-based approach for robust random forest regression	3
Covariate-adjusted hybrid principal components analysis for region-referenced functional EEG data	3
Bayesian estimation for partially linear varying coefficient spatial autoregressive models	3
Robust regression model for ordinal response	3
Extracting scalar measures from functional data with applications to placebo response	2
Forecasting industrial production indices with a new singular spectrum analysis forecasting algorithm	2
Forecasting confirmed cases of the COVID-19 pandemic with a migration-based epidemiological model	2
Asymptotic in a class of network models with a difference private degree sequence	2
A new $k$-nearest neighbors classifier for functional data	2

Prior conditioned on scale parameter for Bayesian quantile LASSO and its generalizations	2
Bayesian zero-inflated growth mixture models with application to health risk behavior data	2
The more data, the better? Demystifying deletion-based methods in linear regression with missing data	2
A sequential Monte Carlo Gibbs coupled with stochastically approximated expectation-maximization algorithm for functional data	2
Study of impact of COVID-19 on industrial production indices using singular spectrum analysis	1
AutoSpec: detection of narrowband frequency changes in time series	1
Feature screening via Bergsma–Dassios sign correlation learning	1
Group variable selection for recurrent event model with a diverging number of covariates	1
AutoSpec: detection of narrowband frequency changes in time series	1
Weakly informative priors and prior-data conflict checking for likelihood-free inference	1
Robust conditional spectral analysis of replicated time series	1
Online multiple learning with working sufficient statistics for generalized linear models in big data	1
A non-marginal variable screening method for the varying coefficient Cox model	1
Generalized Newton–Raphson algorithm for high dimensional LASSO regression	1
Average Treatment Effect Estimation in Observational Studies with Functional Covariates	1
Estimation of Hilbertian varying coefficient models	1
Bayesian estimation for a mortality model via the aging process	1
Information diffusion with network structures	1
Estimation of preclinical state onset age and sojourn time for heavy smokers in lung cancer	1
Rejoinder of “Estimation of Hilbertian varying coefficient models”	1
Approximate hidden semi-Markov models for dynamic connectivity analysis in resting-state fMRI	1
Distribution free prediction intervals for multiple functional regression	1
A double regression method for graphical modeling of high-dimensional nonlinear and non-Gaussian data	1
Variable selection for time-varying effects based on interval-censored failure time data	1
Modeling water table depth using singular spectrum analysis	1
Generalized Gaussian time series model for increments of EEG data	1
Multivariate frailty models using survey weights with applications to twins infant mortality in Ethiopia	1
Multivariate skew Laplace normal distribution for modeling skewness and heavy-tailedness in multivariate data sets	1
Spatial Weibull regression with multivariate log gamma process and its applications to China earthquake economic loss	1
The need to incorporate communities in compartmental models	1
Robust conditional spectral analysis of replicated time series	1
Demystify Lindley’s paradox by connecting $p$-value and posterior probability	1
Subset selection of double-threshold moving average models through the application of the Bayesian method	1
Forecasting industrial production indices with a new singular spectrum analysis forecasting algorithm	1
Multi-drug combination designs with experiments in silico	1
Penalized empirical likelihood for high-dimensional generalized linear models	1