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 2021-06-01 to 2025-06-01.)
ArticleCitations
On the optimal configuration of a square array group testing algorithm26
Heterogeneous treatment effect on survival endpoint in clinical trials via restricted mean survival time9
A latent class selection model for categorical response variables with nonignorably missing data6
Analyses of the impact of country specific macro risk variables on gold futures contract and its position as an asset class: evidence from India5
On dual-asymmetry linear double AR models4
Principal wave analysis for high-dimensional structured data with applications to epigenomics and neuroimaging studies4
A conditional semiparametric approach for the analysis of semi-competing risk data4
Markov-switching Poisson generalized autoregressive conditional heteroscedastic models3
Discussion of “Estimation of Hilbertian varying coefficient models”3
Adaptive clustering and feature selection for categorical time series using interpretable frequency-domain features3
Semi-supervised learning in unbalanced networks with heterogeneous degree3
Forecasting industrial production indices with a new singular spectrum analysis forecasting algorithm2
Robust and powerful gene-environment interaction tests using rare genetic variants in case-control studies2
A new $k$-nearest neighbors classifier for functional data2
Least absolute deviations estimation for nonstationary vector autoregressive time series models with pure unit roots2
Partial profile score feature selection in high-dimensional generalized linear interaction models2
Generalized Gaussian time series model for increments of EEG data2
Bayesian estimation for partially linear varying coefficient spatial autoregressive models2
Bayesian variable selection for semiparametric zero-inflated longitudinal count data in the presence of non-ignorable missingness2
Default Bayesian testing for the zero-inflated Poisson distribution2
Robust and covariance-assisted tensor response regression2
Model-based statistical depth for matrix data2
Towards better clinical prediction and interpretation via a new imputation strategy from National Health and Nutrition Examination Survey1
A multivariate robust integrated test for genetic pleiotropy1
Bayesian tensor-on-tensor regression with efficient computation1
Modeling and identifiability of non-homogenous Poisson process cure rate model1
Compressing recurrent neural network models through principal component analysis1
Online change-point detection for a transient change1
A new type of double exponential Cox model with a gamma frailty1
Empirical likelihood-based weighted estimation of average treatment effects in randomized clinical trials with missing outcomes1
Low-rank signal subspace: parameterization, projection and signal estimation1
Conjugate prior to the Wishart shape parameter: the generalized Gamcon distributions1
The more data, the better? Demystifying deletion-based methods in linear regression with missing data1
Quadratic upper bound algorithms for estimation under Cox model in case-cohort studies1
Analyses of the impact of country specific macro risk variables on gold futures contract and its position as an asset class: evidence from India1
Stochastic generalized functional linear models for gene-based association analysis of binary traits in longitudinal studies1
Stochastic diffusion process based on Goel–Okumoto curve: statistical inference and application to real data1
Weakly informative priors and prior-data conflict checking for likelihood-free inference1
Composition estimation via shrinkage1
Scalable and globally convergent algorithm for sufficient dimension reduction1
Estimation in exponential family regression based on linked data contaminated by mismatch error1
Hierarchical dynamic PARCOR models for analysis of multiple brain signals1
Detection of signals by Monte Carlo singular spectrum analysis: multiple testing1
Multiple hypotheses testing on dependent count data with covariate effects1
A comparative study of sequential detection procedures for transient signals in high dimensional data stream1
Joint model-based distance embedding of multi-track Hi-C data for chromosomal conformation learning1
Community detection in temporal citation network via a tensor-based approach1
Subset selection of double-threshold moving average models through the application of the Bayesian method0
Local neighborhood-based approach of link prediction in networks0
Mixture of partially functional linear regression<br>0
A semi-supervised density peaks clustering algorithm0
Novel subsampling strategies for heavily censored reliability data0
Bayesian methods in tensor analysis0
Bayesian estimation for a mortality model via the aging process0
Multiple penalized regularization for clusters with varying correlation levels0
Estimating extreme value index by subsampling for massive datasets with heavy-tailed distributions0
Varying-coefficients additive hazards regression with current status data and time-dependent&nbsp;treatment0
Pathway Lasso: pathway estimation and selection with high-dimensional mediators0
Robust statistical methods for exclusive&nbsp;hypothesis test0
Aligning sample size calculations with estimands in clinical trials with time-to-event outcomes0
Poisson Inverse Regression for sufficient&nbsp;dimension reduction in text data0
A simultaneous testing of independence and goodness-of-fit in nonlinear regression models&nbsp;0
Forecasting industrial production indices with a new singular spectrum analysis forecasting algorithm0
AutoSpec: detection of narrowband frequency changes in time series0
Regression analysis of semi-parametric&nbsp;transformation models based on multivariate general interval-censored data from case-cohort studies0
A new gamma frailty joint modeling approach for recurrent event and terminal event0
Distribution free prediction intervals for multiple functional regression0
A selective review on conditional density estimation0
Density-convoluted tensor support vector machines0
Simultaneous change-point detection and curve estimation0
Spectral feature selection with the graphical lasso estimator for ultra-high dimensional Gaussian graphical models0
Hankel low-rank approximation and completion in time series analysis and forecasting: a brief review0
Modeling water table depth using singular spectrum analysis0
Discussion of “Estimation of Hilbertian varying coefficient models”0
Composite quantile regression based robust empirical likelihood for partially linear spatial autoregressive models0
Detection of signals by Monte Carlo singular spectrum analysis: multiple testing0
Rejoinder of “Estimation of Hilbertian varying coefficient models”0
Generalized Gaussian time series model for increments of EEG data0
Robust subgroup analysis for network-linked data0
Subgroup analysis and homogeneous effect selection in longitudinal data0
A distributed minimum average variance&nbsp;estimation for sufficient dimension reduction0
Approximate hidden semi-Markov models for dynamic connectivity analysis in resting-state fMRI0
Two-stage multivariate dynamic linear models to extract environmental and climate signals in coastal ecosystem data0
Estimation of partially linear varying coefficient spatial autoregressive models0
Link prediction via latent space logistic regression model0
Multi-way overlapping clustering by Bayesian tensor decomposition0
Scalable inference for individual treatment effect0
Testing threshold effect in single-index models0
Fine-tuned sensitivity analysis for non-ignorable missing data mechanism in linear regression models0
Variable selection for time-varying effects based on interval-censored failure time data0
Improved Naive Bayes with mislabeled data0
Robust MMD estimator of the $\mathrm{S}-\mathrm{SSU} \operatorname{GARCH}(r, s)$ process parameters&nbsp;0
Discussion of “Estimation of Hilbertian varying coefficient models”0
The elliptical Ornstein–Uhlenbeck process0
Detecting changes in linear trend and variance based on isolate-detect0
A sequential estimation with Dorfman and Halving pooling0
SIMEX estimation for quantile regression model with measurement error0
A robust two-stage sequential design for&nbsp;estimating the effective range based on binary responses0
Regularized maximum likelihood for directed&nbsp;networks0
Asymptotic properties of relative error estimation for accelerated failure time model with divergent number of parameters0
Confidence intervals for ratios of proportions in stratified bilateral correlated data0
A generalized semi-parametric model for jointly analyzing response times and accuracy in computerized testing0
A novel update and propagation-based dynamic graph neural network and its application to consumer finance data0
Multivariate skew Laplace normal distribution for modeling skewness and heavy-tailedness in multivariate data sets0
Study of impact of COVID-19 on industrial production indices using singular spectrum analysis0
Frequentist Bayesian compound inference0
A review of nonparametric regression methods for longitudinal data0
Order determination via sample splitting0
Study of automatic choice of parameters for forecasting in singular spectrum analysis0
Multivariate frailty models using survey weights with applications to twins infant mortality in Ethiopia0
Paired-sample tests for homogeneity with/without confounding variables0
Associations between EEG-defined subgroups and antidepressant response: a joint mixture of probabilistic multilinear principal component analysis modeling approach0
Estimation of conditional average treatment effect by covariates balance methods0
Learning conditional dependence graph for concepts via matrix normal graphical model0
Quantile recurrent forecasting in singular spectrum analysis for stock price monitoring0
Variable selection and estimation for high-dimensional partially linear spatial autoregressive models with measurement errors0
A double regression method for graphical modeling of high-dimensional nonlinear and non-Gaussian data0
Multivariate Bernstein Fréchet copulas0
The use of parental genotypes in Mendelian randomization0
Rate-efficient asymptotic normality for the Fourier estimator of the leverage process0
Spatially robust adaptive ensemble average propagator reconstruction via spherical polar Fourier imaging0
Discussion of “Estimation of Hilbertian varying coefficient models”0
Imaging mediation analysis for longitudinal outcomes: a case study of childhood brain tumor survivorship0
Testing high-dimensional covariance matrices with random projections and corrected likelihood ratio0
A pairwise pseudo-likelihood approach for the additive hazards model with left-truncated and interval-censored data0
Hierarchical dynamic PARCOR models for analysis of multiple brain signals0
Discussion of “Estimation of Hilbertian varying coefficient models”0
Network vector autoregressive moving average model0
A nonparametric concurrent regression model with multivariate functional inputs0
Covariate-adjusted hybrid principal components analysis for region-referenced functional EEG data0
An iterative algorithm with adaptive weights and sparse Laplacian shrinkage for regression problems0
$L_1$-regularized functional support vector machine0
Testing for a change in the failure time distribution using combined data from an incident&nbsp;and a prevalent cohort0
Robust conditional spectral analysis of replicated time series0
A sequential Monte Carlo Gibbs coupled with stochastically approximated expectation-maximization algorithm for functional data0
A probability method to schedule the upcoming&nbsp;exam for asymptomatic individuals in cancer screening0
Sparsity-restricted estimation for the accelerated failure time model0
Abnormal sample detection based on robust Mahalanobis distance estimation in adversarial machine learning0
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
Uniform consistency for local fitting of time series non-parametric regression allowing for discrete-valued response0
Stochastic functional linear models for gene-based association analysis of quantitative traits in longitudinal studies0
A sequential stepwise screening procedure for&nbsp;sparse recovery in high-dimensional multiresponse models with complex group structures0
Low-rank signal subspace: parameterization, projection and signal estimation0
Nonparametric kernel estimation for local&nbsp;tail-event correlation0
Welfare and fairness dynamics in federated learning: a client selection perspective0
An asymptotically normal representation for the minimal clinically important difference under a nonconvex surrogate loss0
Sparse logistic regression on functional data0
Sufficient dimension reduction for spatial point processes using weighted principal support vector machines0
Guiding light: An essay for Professor Lincheng Zhao on the occasion of his 80th birthday0
Bayesian analysis of multivariate binary longitudinal data: metabolic syndrome during the menopausal transition&nbsp;0
Modified recurrent forecasting in singular spectrum analysis using Kalman filter and its application for bicoid signal extraction0
A consistent specification test for functional linear quantile regression models0
Automatic tests for serial correlation and ARCH effect of high-dimensional time series0
Depth-invariant beamforming for functional connectivity with MEG data0
When to initiate cancer screening exam?0
Study of automatic choice of parameters for forecasting in singular spectrum analysis0
Asymptotic in a class of network models with a difference private degree sequence0
Variable selection for doubly robust causal&nbsp;inference0
Copy number variation detection based on constraint least squares0
Metric distributional discrepancy in metric space0
A random projection method for large-scale community detection0
Optimal subsampling proportional subdistribution&nbsp;hazards regression with rare events in big data0
Data integration of multiple genome-wide association studies under group homogeneous structure0
Rank-R matrix autoregressive models for modeling spatio-temporal data0
Latent class proportional hazards regression with heterogeneous survival data0
Average Treatment Effect Estimation in Observational Studies with Functional Covariates0
Semiparametric imputation-based inference for the additive mean residual life model with missing censoring indicators0
Further study on testing the equality of response rates under Dallal’s model0
High-dimensional Bayesian mediation analysis&nbsp;with adaptive Laplace priors0
Estimation of Hilbertian varying coefficient models0
Sieve maximum likelihood estimation for generalized linear mixed models with an unknown link function0
Correlated Wishart matrices classification via an expectation-maximization composite likelihood-based algorithm0
Modelling uncertainty of responses in factor&nbsp;models for multivariate ordinal data0
Empirical likelihood-based estimation and inference in randomized controlled trials with high-dimensional covariates0
Flexible quasi-beta prime regression models for dependent continuous positive data0
An improved strategy for predicting Alzheimer's disease progression in patients with mild cognitive impairment by clustering hippocampal shape data0
Causal measures using generalized difference-in-difference approach with nonlinear models0
Testing attributable effects hypotheses with an application to the Oregon Health Insurance Experiment0
Estimation of preclinical state onset age and sojourn time for heavy smokers in lung cancer0
An improved spectral clustering method for large-scale sparse networks0
Two-sample test for stochastic block models via&nbsp;maximum entry-wise deviation0
AutoSpec: detection of narrowband frequency changes in time series0
Robust conditional spectral analysis of replicated time series0
Spatial Weibull regression with multivariate log gamma process and its applications to China earthquake economic loss0
Empirical likelihood-based portmanteau tests for autoregressive moving average models with possible infinite variance innovations0
Debiased distributed quantile regression in high dimensions0
Smooth online parameter estimation for time varying VAR models with application to rat local field potential activity data0
Estimating individualized treatment rules for multicategory type 2 diabetes treatments using electronic health records0
A default Bayesian multiple comparison of two binomial proportions0
Confidence in the treatment decision for an individual patient: strategies for sequential assessment0
The elliptical Ornstein–Uhlenbeck process0
Semiparametric transformation models of survival-out-of-hospital0
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