Statistics and Its Interface

Papers
(The median citation count of Statistics and Its Interface is 0. 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.)
ArticleCitations
Pathway Lasso: pathway estimation and selection with high-dimensional mediators19
The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method10
Community detection for statistical citation network by D-SCORE9
Rate-efficient asymptotic normality for the Fourier estimator of the leverage process7
Bayesian confidence intervals for variance of delta-lognormal distribution with an application to rainfall dispersion7
Estimation and diagnostics for partially linear censored regression models based on heavy-tailed distributions5
A robust nonlinear mixed-effects model for COVID-19 death data5
Further study on testing the equality of response rates under Dallal’s model4
Hankel low-rank approximation and completion in time series analysis and forecasting: a brief review4
Regularized multiple mediation analysis4
Covariate-adjusted hybrid principal components analysis for region-referenced functional EEG data3
Bayesian estimation for partially linear varying coefficient spatial autoregressive models3
Robust regression model for ordinal response3
A model checking method for the additive hazards model with multivariate current status data3
Heterogeneity learning for SIRS model: an application to the COVID-193
Causal measures using generalized difference-in-difference approach with nonlinear models3
Multiple penalized regularization for clusters with varying correlation levels3
Spatial regression models for bounded response variables with evaluation of the degree of dependence3
Partial profile score feature selection in high-dimensional generalized linear interaction models3
A residual-based approach for robust random forest regression3
Extracting scalar measures from functional data with applications to placebo response2
Forecasting industrial production indices with a new singular spectrum analysis forecasting algorithm2
Forecasting confirmed cases of the COVID-19 pandemic with a migration-based epidemiological model2
Asymptotic in a class of network models with a difference private degree sequence2
A new $k$-nearest neighbors classifier for functional data2
Prior conditioned on scale parameter for Bayesian quantile LASSO and its generalizations2
Bayesian zero-inflated growth mixture models with application to health risk behavior data2
The more data, the better? Demystifying deletion-based methods in linear regression with missing data2
A sequential Monte Carlo Gibbs coupled with stochastically approximated expectation-maximization algorithm for functional data2
Subset selection of double-threshold moving average models through the application of the Bayesian method1
Forecasting industrial production indices with a new singular spectrum analysis forecasting algorithm1
Multi-drug combination designs with experiments in silico1
Penalized empirical likelihood for high-dimensional generalized linear models1
Study of impact of COVID-19 on industrial production indices using singular spectrum analysis1
AutoSpec: detection of narrowband frequency changes in time series1
Feature screening via Bergsma–Dassios sign correlation learning1
Group variable selection for recurrent event model with a diverging number of covariates1
AutoSpec: detection of narrowband frequency changes in time series1
Weakly informative priors and prior-data conflict checking for likelihood-free inference1
Robust conditional spectral analysis of replicated time series1
Online multiple learning with working sufficient statistics for generalized linear models in big data1
A non-marginal variable screening method for the varying coefficient Cox model1
Generalized Newton–Raphson algorithm for high dimensional LASSO regression1
Average Treatment Effect Estimation in Observational Studies with Functional Covariates1
Estimation of Hilbertian varying coefficient models1
Bayesian estimation for a mortality model via the aging process1
Information diffusion with network structures1
Estimation of preclinical state onset age and sojourn time for heavy smokers in lung cancer1
Rejoinder of “Estimation of Hilbertian varying coefficient models”1
Approximate hidden semi-Markov models for dynamic connectivity analysis in resting-state fMRI1
Distribution free prediction intervals for multiple functional regression1
A double regression method for graphical modeling of high-dimensional nonlinear and non-Gaussian data1
Variable selection for time-varying effects based on interval-censored failure time data1
Modeling water table depth using singular spectrum analysis1
Generalized Gaussian time series model for increments of EEG data1
Multivariate frailty models using survey weights with applications to twins infant mortality in Ethiopia1
Multivariate skew Laplace normal distribution for modeling skewness and heavy-tailedness in multivariate data sets1
Spatial Weibull regression with multivariate log gamma process and its applications to China earthquake economic loss1
The need to incorporate communities in compartmental models1
Robust conditional spectral analysis of replicated time series1
Demystify Lindley’s paradox by connecting $p$-value and posterior probability1
On dual-asymmetry linear double AR models0
Network vector autoregressive moving average model0
Estimating extreme value index by subsampling for massive datasets with heavy-tailed distributions0
A generalized semi-parametric model for jointly analyzing response times and accuracy in computerized testing0
An iterative algorithm with adaptive weights and sparse Laplacian shrinkage for regression problems0
A default Bayesian multiple comparison of two binomial proportions0
Density-convoluted tensor support vector machines0
Detection of signals by Monte Carlo singular spectrum analysis: multiple testing0
Discussion of “Estimation of Hilbertian varying coefficient models”0
Discussion of “Estimation of Hilbertian varying coefficient models”0
Low-rank signal subspace: parameterization, projection and signal estimation0
A novel intervention recurrent autoencoder for real time forecasting and non-pharmaceutical intervention selection to curb the spread of Covid-19 in the world0
Least absolute deviations estimation for nonstationary vector autoregressive time series models with pure unit roots0
Empirical likelihood-based estimation and inference in randomized controlled trials with high-dimensional covariates0
Bayesian methods in tensor analysis0
On the optimal configuration of a square array group testing algorithm0
Rank-R matrix autoregressive models for modeling spatio-temporal data0
High-dimensional correlation matrix estimation for Gaussian data: a Bayesian perspective0
Semi-supervised learning in unbalanced networks with heterogeneous degree0
Residual-based tree for clustered binary data0
Scalable and globally convergent algorithm for sufficient dimension reduction0
Estimation and inference for covariate adjusted partially functional linear regression models0
Empirical likelihood-based weighted estimation of average treatment effects in randomized clinical trials with missing outcomes0
Robust and covariance-assisted tensor response regression0
Confidence in the treatment decision for an individual patient: strategies for sequential assessment0
Adaptive clustering and feature selection for categorical time series using interpretable frequency-domain features0
Robust and powerful gene-environment interaction tests using rare genetic variants in case-control studies0
Markov-switching Poisson generalized autoregressive conditional heteroscedastic models0
When to initiate cancer screening exam?0
Discussion on “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method” by Tian <i>et al.</i>0
Discussion on “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method” by Tian <i>et al.</i>0
Estimating equation estimators of quantile differences for one sample with length-biased and right-censored data0
Lead time distribution for individuals with a screening history0
Estimation in exponential family regression based on linked data contaminated by mismatch error0
Testing threshold effect in single-index models0
Analyses of the impact of country specific macro risk variables on gold futures contract and its position as an asset class: evidence from India0
Analyses of the impact of country specific macro risk variables on gold futures contract and its position as an asset class: evidence from India0
Sparsity-restricted estimation for the accelerated failure time model0
Abnormal sample detection based on robust Mahalanobis distance estimation in adversarial machine learning0
Default Bayesian testing for the zero-inflated Poisson distribution0
Debiased distributed quantile regression in high dimensions0
A semi-supervised density peaks clustering algorithm0
A review of nonparametric regression methods for longitudinal data0
Semiparametric transformation models of survival-out-of-hospital0
Estimation of conditional average treatment effect by covariates balance methods0
Online change-point detection for a transient change0
Data integration of multiple genome-wide association studies under group homogeneous structure0
Uniform consistency for local fitting of time series non-parametric regression allowing for discrete-valued response0
Sufficient dimension reduction for spatial point processes using weighted principal support vector machines0
Sieve maximum likelihood estimation for generalized linear mixed models with an unknown link function0
A pairwise pseudo-likelihood approach for the additive hazards model with left-truncated and interval-censored data0
Principal wave analysis for high-dimensional structured data with applications to epigenomics and neuroimaging studies0
SIMEX estimation for quantile regression model with measurement error0
$L_1$-regularized functional support vector machine0
A consistent specification test for functional linear quantile regression models0
Empirical likelihood-based portmanteau tests for autoregressive moving average models with possible infinite variance innovations0
Correlated Wishart matrices classification via an expectation-maximization composite likelihood-based algorithm0
Hierarchical dynamic PARCOR models for analysis of multiple brain signals0
A latent class selection model for categorical response variables with nonignorably missing data0
Imaging mediation analysis for longitudinal outcomes: a case study of childhood brain tumor survivorship0
Discussion of “Estimation of Hilbertian varying coefficient models”0
Multi-way overlapping clustering by Bayesian tensor decomposition0
Learning conditional dependence graph for concepts via matrix normal graphical model0
A Gibbs sampler for estimating the graded item response model with likert-scale data via the Pólya–Gamma distribution: a calculationally efficient data-augmentation scheme0
Link prediction via latent space logistic regression model0
Study of automatic choice of parameters for forecasting in singular spectrum analysis0
An improved strategy for predicting Alzheimer's disease progression in patients with mild cognitive impairment by clustering hippocampal shape data0
Fine-tuned sensitivity analysis for non-ignorable missing data mechanism in linear regression models0
Bayesian tensor-on-tensor regression with efficient computation0
A nonparametric concurrent regression model with multivariate functional inputs0
Hierarchical dynamic PARCOR models for analysis of multiple brain signals0
Two-stage multivariate dynamic linear models to extract environmental and climate signals in coastal ecosystem data0
Quantile recurrent forecasting in singular spectrum analysis for stock price monitoring0
Model-based statistical depth for matrix data0
Welfare and fairness dynamics in federated learning: a client selection perspective0
Robust subgroup analysis for network-linked data0
Constrained estimation in Cox model under failure-time outcome-dependent sampling design0
Low-rank signal subspace: parameterization, projection and signal estimation0
Flexible quasi-beta prime regression models for dependent continuous positive data0
Rejoinder of “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method”0
Study of automatic choice of parameters for forecasting in singular spectrum analysis0
Discussion on “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method” by Tian <i>et al.</i>0
Generalized Gaussian time series model for increments of EEG data0
Discussion on “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method” by Tian <i>et al.</i>0
Scalable inference for individual treatment effect0
The use of parental genotypes in Mendelian randomization0
Latent class proportional hazards regression with heterogeneous survival data0
A selective review on conditional density estimation0
Depth-invariant beamforming for functional connectivity with MEG data0
Spatially robust adaptive ensemble average propagator reconstruction via spherical polar Fourier imaging0
Modified recurrent forecasting in singular spectrum analysis using Kalman filter and its application for bicoid signal extraction0
Frequentist Bayesian compound inference0
A test against the stratified additive hazards model0
A novel update and propagation-based dynamic graph neural network and its application to consumer finance data0
The elliptical Ornstein–Uhlenbeck process0
Inference in a mixture additive hazards cure model0
Paired-sample tests for homogeneity with/without confounding variables0
Testing high-dimensional covariance matrices with random projections and corrected likelihood ratio0
Discussion of “Estimation of Hilbertian varying coefficient models”0
Testing threshold effect in single-index models0
Compressing recurrent neural network models through principal component analysis0
Simultaneous change-point detection and curve estimation0
Multivariate Bernstein Fréchet copulas0
Smooth online parameter estimation for time varying VAR models with application to rat local field potential activity data0
Guiding light: An essay for Professor Lincheng Zhao on the occasion of his 80th birthday0
Estimation of partially linear varying coefficient spatial autoregressive models0
Local neighborhood-based approach of link prediction in networks0
On dual-asymmetry linear double AR models0
Detection of signals by Monte Carlo singular spectrum analysis: multiple testing0
Discussion on “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method” by Tian <i>et al.</i>0
Testing attributable effects hypotheses with an application to the Oregon Health Insurance Experiment0
Relating parameters in conditional, marginalized, and marginal logistic models when the mediator is binary0
A random projection method for large-scale community detection0
Towards better clinical prediction and interpretation via a new imputation strategy from National Health and Nutrition Examination Survey0
Quadratic upper bound algorithms for estimation under Cox model in case-cohort studies0
Stochastic diffusion process based on Goel–Okumoto curve: statistical inference and application to real data0
Modeling and identifiability of non-homogenous Poisson process cure rate model0
Stochastic functional linear models for gene-based association analysis of quantitative traits in longitudinal studies0
Discussion of “Estimation of Hilbertian varying coefficient models”0
Aligning sample size calculations with estimands in clinical trials with time-to-event outcomes0
Variable selection and estimation for high-dimensional partially linear spatial autoregressive models with measurement errors0
Improved Naive Bayes with mislabeled data0
Discussion on “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method” by Tian <i>et al.</i>0
Grouped variable selection with prior information via the prior group bridge method0
Joint model-based distance embedding of multi-track Hi-C data for chromosomal conformation learning0
Associations between EEG-defined subgroups and antidepressant response: a joint mixture of probabilistic multilinear principal component analysis modeling approach0
The elliptical Ornstein–Uhlenbeck process0
Sparse logistic regression on functional data0
Copy number variation detection based on constraint least squares0
Composite quantile regression based robust empirical likelihood for partially linear spatial autoregressive models0
Estimating individualized treatment rules for multicategory type 2 diabetes treatments using electronic health records0
Community detection in temporal citation network via a tensor-based approach0
Asymptotic properties of relative error estimation for accelerated failure time model with divergent number of parameters0
Metric distributional discrepancy in metric space0
Multiple hypotheses testing on dependent count data with covariate effects0
An asymptotically normal representation for the minimal clinically important difference under a nonconvex surrogate loss0
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