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 2022-06-01 to 2026-06-01.)
ArticleCitations
A zero-inflated negative binomial factor model for microbiome data analysis13
A latent class selection model for categorical response variables with nonignorably missing data6
Heterogeneous treatment effect on survival endpoint in clinical trials via restricted mean survival time4
Analyses of the impact of country specific macro risk variables on gold futures contract and its position as an asset class: evidence from India3
A conditional semiparametric approach for the analysis of semi-competing risk data3
BSEMsurvCox: multi-omics integration in Bayesian Cox proportional hazards model with structural equation framework3
Semi-supervised learning in unbalanced networks with heterogeneous degree3
On the optimal configuration of a square array group testing algorithm3
Model-based statistical depth for matrix data2
On dual-asymmetry linear double AR models2
Markov-switching Poisson generalized autoregressive conditional heteroscedastic models2
Generalized Gaussian time series model for increments of EEG data2
Joint model-based distance embedding of multi-track Hi-C data for chromosomal conformation learning2
Adaptive clustering and feature selection for categorical time series using interpretable frequency-domain features2
Bayesian variable selection for semiparametric zero-inflated longitudinal count data in the presence of non-ignorable missingness2
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
Composition estimation via shrinkage2
Testing for high dimensional association using wild bootstrap and power enhancement technique2
Least absolute deviations estimation for nonstationary vector autoregressive time series models with pure unit roots2
Robust and covariance-assisted tensor response regression2
Default Bayesian testing for the zero-inflated Poisson distribution2
Community detection in temporal citation network via a tensor-based approach1
Multiple hypotheses testing on dependent count data with covariate effects1
Conjugate prior to the Wishart shape parameter: the generalized Gamcon distributions1
A semiparametric additive-multiplicative rates model for recurrent event data with a terminal event and intermittent gaps1
Modeling and identifiability of non-homogenous Poisson process cure rate model1
Bayesian tensor-on-tensor regression with efficient computation1
A robust two-stage sequential design for estimating the effective range based on binary responses1
Compressing recurrent neural network models through principal component analysis1
A comparative study of sequential detection procedures for transient signals in high dimensional data stream1
Stochastic generalized functional linear models for gene-based association analysis of binary traits in longitudinal studies1
Empirical likelihood-based weighted estimation of average treatment effects in randomized clinical trials with missing outcomes1
Estimation of extreme conditional expectile via tail risk transition from intermediate quantile1
Non-convex group penalized variable selection for high-dimensional varying coefficient panel data models with fixed effects using auxiliary regression1
Detection of signals by Monte Carlo singular spectrum analysis: multiple testing1
Analyses of the impact of country specific macro risk variables on gold futures contract and its position as an asset class: evidence from India1
Whole-brain directed network analysis of fMRI data1
Low-rank signal subspace: parameterization, projection and signal estimation1
Scalable and globally convergent algorithm for sufficient dimension reduction1
Weakly informative priors and prior-data conflict checking for likelihood-free inference1
A new type of double exponential Cox model with a gamma frailty1
A multivariate robust integrated test for genetic pleiotropy1
Estimation in exponential family regression based on linked data contaminated by mismatch error1
Low-rank signal subspace: parameterization, projection and signal estimation1
Improving prediction via transfer learning with application to heterogeneous CHARLS data1
Hierarchical dynamic PARCOR models for analysis of multiple brain signals1
Quadratic upper bound algorithms for estimation under Cox model in case-cohort studies1
Towards better clinical prediction and interpretation via a new imputation strategy from National Health and Nutrition Examination Survey1
Improving overall risk ranking via subgroup-level information borrowing in survival risk stratification1
Online change-point detection for a transient change1
Detection of signals by Monte Carlo singular spectrum analysis: multiple testing0
A new gamma frailty joint modeling approach for recurrent event and terminal event0
Sieve maximum likelihood estimation for generalized linear mixed models with an unknown link function0
A novel update and propagation-based dynamic graph neural network and its application to consumer finance data0
Inference for function-on-function regression: central limit theorem and residual bootstrap0
Asymptotic test and sample size determination for comparing response rates of multiple groups0
Smooth online parameter estimation for time varying VAR models with application to rat local field potential activity data0
Aligning sample size calculations with estimands in clinical trials with time-to-event outcomes0
A distributed minimum average variance estimation for sufficient dimension reduction0
Detecting changes in linear trend and variance based on isolate-detect0
A consistent specification test for functional linear quantile regression models0
Confidence intervals for ratios of proportions in stratified bilateral correlated data0
Subgroup analysis and homogeneous effect selection in longitudinal data0
Modeling water table depth using singular spectrum analysis0
Hierarchical dynamic PARCOR models for analysis of multiple brain signals0
Empirical likelihood-based portmanteau tests for autoregressive moving average models with possible infinite variance innovations0
Hierarchical skinny Gibbs sampler in logistic regression using Pólya-Gamma latent variables0
Scalable inference for individual treatment effect0
Semiparametric imputation-based inference for the additive mean residual life model with missing censoring indicators0
Density-convoluted tensor support vector machines0
The elliptical Ornstein–Uhlenbeck process0
Claims reserving by using log-Gaussian process regression0
A double regression method for graphical modeling of high-dimensional nonlinear and non-Gaussian data0
Learning conditional dependence graph for concepts via matrix normal graphical model0
Robust conditional spectral analysis of replicated time series0
Guiding light: An essay for Professor Lincheng Zhao on the occasion of his 80th birthday0
Statistical test for genetic pleiotropy with response data missing at random0
A review of nonparametric regression methods for longitudinal data0
An asymptotically normal representation for the minimal clinically important difference under a nonconvex surrogate loss0
Improved Naive Bayes with mislabeled data0
Mixture of partially functional linear regression<br>0
A selective review on conditional density estimation0
A probability method to schedule the upcoming&nbsp;exam for asymptomatic individuals in cancer screening0
Modified recurrent forecasting in singular spectrum analysis using Kalman filter and its application for bicoid signal extraction0
A sequential stepwise screening procedure for&nbsp;sparse recovery in high-dimensional multiresponse models with complex group structures0
Robust subgroup analysis for network-linked data0
Simultaneous change-point detection and curve estimation0
Network vector autoregressive moving average model0
Forecasting industrial production indices with a new singular spectrum analysis forecasting algorithm0
Nonparametric kernel estimation for local&nbsp;tail-event correlation0
Analysis of rank regression modeling in functional data0
Two-sample test for stochastic block models via&nbsp;maximum entry-wise deviation0
Modelling uncertainty of responses in factor&nbsp;models for multivariate ordinal data0
Abnormal sample detection based on robust Mahalanobis distance estimation in adversarial machine learning0
Optimal subsampling proportional subdistribution&nbsp;hazards regression with rare events in big data0
Conformalized fuzzy subgroup recovery for optimization-free heterogeneous analysis0
Spectral feature selection with the graphical lasso estimator for ultra-high dimensional Gaussian graphical models0
Multi-way overlapping clustering by Bayesian tensor decomposition0
Bayesian analysis of multivariate binary longitudinal data: metabolic syndrome during the menopausal transition&nbsp;0
Metric distributional discrepancy in metric space0
A nonparametric concurrent regression model with multivariate functional inputs0
Bayesian methods in tensor analysis0
Frequentist Bayesian compound inference0
Novel subsampling strategies for heavily censored reliability data0
Testing attributable effects hypotheses with an application to the Oregon Health Insurance Experiment0
Conditional Value-at-Risk portfolio optimization in high dimensions0
Flexible quasi-beta prime regression models for dependent continuous positive data0
Estimation of partially linear varying coefficient spatial autoregressive models0
Mixed-score community detection method for weighted stock networks0
Study of impact of COVID-19 on industrial production indices using singular spectrum analysis0
A random projection method for large-scale community detection0
Composite quantile regression based robust empirical likelihood for partially linear spatial autoregressive models0
Associations between EEG-defined subgroups and antidepressant response: a joint mixture of probabilistic multilinear principal component analysis modeling approach0
AutoSpec: detection of narrowband frequency changes in time series0
A default Bayesian multiple comparison of two binomial proportions0
Automatic tests for serial correlation and ARCH effect of high-dimensional time series0
Variable selection based on $A$-learning for optimal treatment regimes with survival data under semiparametric model0
Variable selection for doubly robust causal&nbsp;inference0
Robust conditional spectral analysis of replicated time series0
Asymptotic properties of relative error estimation for accelerated failure time model with divergent number of parameters0
An effective procedure to improve covariates balance for multiple groups in randomized trials0
A semi-supervised density peaks clustering algorithm0
Hankel low-rank approximation and completion in time series analysis and forecasting: a brief review0
Order determination via sample splitting0
High-dimensional inference and FDR control for simulated Markov random fields0
Multivariate frailty models using survey weights with applications to twins infant mortality in Ethiopia0
$L_1$-regularized functional support vector machine0
The elliptical Ornstein–Uhlenbeck process0
Varying-coefficients additive hazards regression with current status data and time-dependent&nbsp;treatment0
The use of parental genotypes in Mendelian randomization0
High-dimensional Bayesian mediation analysis&nbsp;with adaptive Laplace priors0
Welfare and fairness dynamics in federated learning: a client selection perspective0
Confidence in the treatment decision for an individual patient: strategies for sequential assessment0
Regression analysis of semi-parametric&nbsp;transformation models based on multivariate general interval-censored data from case-cohort studies0
A novel robust precision matrix estimation for high-dimensional microbiome data0
An improved strategy for predicting Alzheimer's disease progression in patients with mild cognitive impairment by clustering hippocampal shape data0
Robust MMD estimator of the $\mathrm{S}-\mathrm{SSU} \operatorname{GARCH}(r, s)$ process parameters&nbsp;0
Variable selection and estimation for high-dimensional partially linear spatial autoregressive models with measurement errors0
Latent class proportional hazards regression with heterogeneous survival data0
An iterative algorithm with adaptive weights and sparse Laplacian shrinkage for regression problems0
Copy number variation detection based on constraint least squares0
Poisson Inverse Regression for sufficient&nbsp;dimension reduction in text data0
Semiparametric analysis of length-biased interval-censored data with a cured subgroup0
Study of automatic choice of parameters for forecasting in singular spectrum analysis0
Estimating extreme value index by subsampling for massive datasets with heavy-tailed distributions0
SIMEX estimation for quantile regression model with measurement error0
An improved spectral clustering method for large-scale sparse networks0
Spatially robust adaptive ensemble average propagator reconstruction via spherical polar Fourier imaging0
Correlated Wishart matrices classification via an expectation-maximization composite likelihood-based algorithm0
Testing for a change in the failure time distribution using combined data from an incident&nbsp;and a prevalent cohort0
Rank-R matrix autoregressive models for modeling spatio-temporal data0
A simultaneous testing of independence and goodness-of-fit in nonlinear regression models&nbsp;0
A pairwise pseudo-likelihood approach for the additive hazards model with left-truncated and interval-censored data0
A joint distribution for indexes of extremes with applications to climate change0
Evolutionary GORH model with item-wise baseline hazard function for response times0
Generalized functional additive models in reproducing kernel Hilbert spaces0
Uniform consistency for local fitting of time series non-parametric regression allowing for discrete-valued response0
Regularized maximum likelihood for directed&nbsp;networks0
AutoSpec: detection of narrowband frequency changes in time series0
Imaging mediation analysis for longitudinal outcomes: a case study of childhood brain tumor survivorship0
Data integration of multiple genome-wide association studies under group homogeneous structure0
Testing threshold effect in single-index models0
A sequential estimation with Dorfman and Halving pooling0
Monotone estimation for the coefficient functions of varying coefficient models0
Robust statistical methods for exclusive&nbsp;hypothesis test0
Debiased distributed quantile regression in high dimensions0
Estimating individualized treatment rules for multicategory type 2 diabetes treatments using electronic health records0
Efficient estimation of a semiparametric time-varying coefficient model for interval-censored failure time data0
Study of automatic choice of parameters for forecasting in singular spectrum analysis0
Two-stage multivariate dynamic linear models to extract environmental and climate signals in coastal ecosystem data0
Fitbit data in tracking exercise adherence in a clinical trial0
Approximate hidden semi-Markov models for dynamic connectivity analysis in resting-state fMRI0
Quantile recurrent forecasting in singular spectrum analysis for stock price monitoring0
Generalized Gaussian time series model for increments of EEG data0
A principal square response forward regression method for dimension reduction0
Fine-tuned sensitivity analysis for non-ignorable missing data mechanism in linear regression models0
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