Statistics and Its Interface

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
Further study on testing the equality of response rates under Dallal’s model	4
Hankel low-rank approximation and completion in time series analysis and forecasting: a brief review	4
Regularized multiple mediation analysis	4
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
Spatial regression models for bounded response variables with evaluation of the degree of dependence	3
Heterogeneity learning for SIRS model: an application to the COVID-19	3
A residual-based approach for robust random forest regression	3
Multiple penalized regularization for clusters with varying correlation levels	3
A model checking method for the additive hazards model with multivariate current status data	3
Partial profile score feature selection in high-dimensional generalized linear interaction models	3
Causal measures using generalized difference-in-difference approach with nonlinear models	3
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
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
Approximate hidden semi-Markov models for dynamic connectivity analysis in resting-state fMRI	1
Rejoinder of “Estimation of Hilbertian varying coefficient models”	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
Study of impact of COVID-19 on industrial production indices using singular spectrum analysis	1
Bayesian estimation for a mortality model via the aging process	1
Multivariate skew Laplace normal distribution for modeling skewness and heavy-tailedness in multivariate data sets	1
Estimation of preclinical state onset age and sojourn time for heavy smokers in lung cancer	1
AutoSpec: detection of narrowband frequency changes in time series	1
Robust conditional spectral analysis of replicated time series	1
The need to incorporate communities in compartmental models	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
Spatial Weibull regression with multivariate log gamma process and its applications to China earthquake economic loss	1
Feature screening via Bergsma–Dassios sign correlation learning	1
On dual-asymmetry linear double AR models	1
Weakly informative priors and prior-data conflict checking for likelihood-free inference	1
AutoSpec: detection of narrowband frequency changes in time series	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
Multivariate frailty models using survey weights with applications to twins infant mortality in Ethiopia	1
Generalized Gaussian time series model for increments of EEG data	1
Group variable selection for recurrent event model with a diverging number of covariates	1
Information diffusion with network structures	1
Demystify Lindley’s paradox by connecting $p$-value and posterior probability	1
Residual-based tree for clustered binary data	0
Rank-R matrix autoregressive models for modeling spatio-temporal data	0
The elliptical Ornstein–Uhlenbeck process	0
The elliptical Ornstein–Uhlenbeck process	0
Estimation and inference for covariate adjusted partially functional linear regression models	0
Robust and covariance-assisted tensor response regression	0
Semiparametric transformation models of survival-out-of-hospital	0
Adaptive clustering and feature selection for categorical time series using interpretable frequency-domain features	0
Robust and powerful gene-environment interaction tests using rare genetic variants in case-control studies	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
Markov-switching Poisson generalized autoregressive conditional heteroscedastic models	0
When to initiate cancer screening exam?	0
Towards better clinical prediction and interpretation via a new imputation strategy from National Health and Nutrition Examination Survey	0

Estimation in exponential family regression based on linked data contaminated by mismatch error	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 data	0
Stochastic functional linear models for gene-based association analysis of quantitative traits in longitudinal studies	0
Smooth online parameter estimation for time varying VAR models with application to rat local field potential activity data	0
Debiased distributed quantile regression in high dimensions	0
Testing threshold effect in single-index models	0
Analyses of the impact of country specific macro risk variables on gold futures contract and its position as an asset class: evidence from India	0
Grouped variable selection with prior information via the prior group bridge method	0
Online change-point detection for a transient change	0
Sparsity-restricted estimation for the accelerated failure time model	0
Default Bayesian testing for the zero-inflated Poisson distribution	0
Network vector autoregressive moving average model	0
On dual-asymmetry linear double AR models	0
A pairwise pseudo-likelihood approach for the additive hazards model with left-truncated and interval-censored data	0
A review of nonparametric regression methods for longitudinal data	0
Estimation of conditional average treatment effect by covariates balance methods	0
Density-convoluted tensor support vector machines	0
A semi-supervised density peaks clustering algorithm	0
Empirical likelihood-based portmanteau tests for autoregressive moving average models with possible infinite variance innovations	0
Relating parameters in conditional, marginalized, and marginal logistic models when the mediator is binary	0
Sieve maximum likelihood estimation for generalized linear mixed models with an unknown link function	0
A novel intervention recurrent autoencoder for real time forecasting and non-pharmaceutical intervention selection to curb the spread of Covid-19 in the world	0
Data integration of multiple genome-wide association studies under group homogeneous structure	0
Discussion of “Estimation of Hilbertian varying coefficient models”	0
Stochastic diffusion process based on Goel–Okumoto curve: statistical inference and application to real data	0
A consistent specification test for functional linear quantile regression models	0
Principal wave analysis for high-dimensional structured data with applications to epigenomics and neuroimaging studies	0
Hierarchical dynamic PARCOR models for analysis of multiple brain signals	0
Imaging mediation analysis for longitudinal outcomes: a case study of childhood brain tumor survivorship	0
Semi-supervised learning in unbalanced networks with heterogeneous degree	0
Link prediction via latent space logistic regression model	0
An improved strategy for predicting Alzheimer's disease progression in patients with mild cognitive impairment by clustering hippocampal shape data	0
The use of parental genotypes in Mendelian randomization	0
A Gibbs sampler for estimating the graded item response model with likert-scale data via the Pólya–Gamma distribution: a calculationally efficient data-augmentation scheme	0
Analyses of the impact of country specific macro risk variables on gold futures contract and its position as an asset class: evidence from India	0
A default Bayesian multiple comparison of two binomial proportions	0
Bayesian tensor-on-tensor regression with efficient computation	0
Hierarchical dynamic PARCOR models for analysis of multiple brain signals	0
Inference in a mixture additive hazards cure model	0
Quantile recurrent forecasting in singular spectrum analysis for stock price monitoring	0
Model-based statistical depth for matrix data	0
Scalable and globally convergent algorithm for sufficient dimension reduction	0
Welfare and fairness dynamics in federated learning: a client selection perspective	0
Constrained estimation in Cox model under failure-time outcome-dependent sampling design	0
Confidence in the treatment decision for an individual patient: strategies for sequential assessment	0
Study of automatic choice of parameters for forecasting in singular spectrum analysis	0
Flexible quasi-beta prime regression models for dependent continuous positive data	0
Rejoinder of “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method”	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
A selective review on conditional density estimation	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
Generalized Gaussian time series model for increments of EEG data	0
Lead time distribution for individuals with a screening history	0
Bayesian methods in tensor analysis	0
A test against the stratified additive hazards model	0
Scalable inference for individual treatment effect	0
Latent class proportional hazards regression with heterogeneous survival data	0
Sufficient dimension reduction for spatial point processes using weighted principal support vector machines	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
Testing high-dimensional covariance matrices with random projections and corrected likelihood ratio	0
Spatially robust adaptive ensemble average propagator reconstruction via spherical polar Fourier imaging	0
Frequentist Bayesian compound inference	0
$L_1$-regularized functional support vector machine	0
Depth-invariant beamforming for functional connectivity with MEG data	0
Multivariate Bernstein Fréchet copulas	0
Empirical likelihood-based weighted estimation of average treatment effects in randomized clinical trials with missing outcomes	0
Paired-sample tests for homogeneity with/without confounding variables	0
A latent class selection model for categorical response variables with nonignorably missing data	0
A novel update and propagation-based dynamic graph neural network and its application to consumer finance data	0
Testing threshold effect in single-index models	0
Simultaneous change-point detection and curve estimation	0
Discussion of “Estimation of Hilbertian varying coefficient models”	0
Local neighborhood-based approach of link prediction in networks	0
Detection of signals by Monte Carlo singular spectrum analysis: multiple testing	0
Estimation of partially linear varying coefficient spatial autoregressive models	0
Study of automatic choice of parameters for forecasting in singular spectrum analysis	0
SIMEX estimation for quantile regression model with measurement error	0
Asymptotic properties of relative error estimation for accelerated failure time model with divergent number of parameters	0
Testing attributable effects hypotheses with an application to the Oregon Health Insurance Experiment	0

Abnormal sample detection based on robust Mahalanobis distance estimation in adversarial machine learning	0
Robust subgroup analysis for network-linked data	0
A random projection method for large-scale community detection	0
Quadratic upper bound algorithms for estimation under Cox model in case-cohort studies	0
Modeling and identifiability of non-homogenous Poisson process cure rate model	0
Guiding light: An essay for Professor Lincheng Zhao on the occasion of his 80th birthday	0
Discussion of “Estimation of Hilbertian varying coefficient models”	0
Aligning sample size calculations with estimands in clinical trials with time-to-event outcomes	0
Fine-tuned sensitivity analysis for non-ignorable missing data mechanism in linear regression models	0
Variable selection and estimation for high-dimensional partially linear spatial autoregressive models with measurement errors	0
Improved Naive Bayes with mislabeled data	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
Two-stage multivariate dynamic linear models to extract environmental and climate signals in coastal ecosystem data	0
Correlated Wishart matrices classification via an expectation-maximization composite likelihood-based algorithm	0
Composite quantile regression based robust empirical likelihood for partially linear spatial autoregressive models	0
Joint model-based distance embedding of multi-track Hi-C data for chromosomal conformation learning	0
Associations between EEG-defined subgroups and antidepressant response: a joint mixture of probabilistic multilinear principal component analysis modeling approach	0
Low-rank signal subspace: parameterization, projection and signal estimation	0
Multiple hypotheses testing on dependent count data with covariate effects	0
Sparse logistic regression on functional data	0
Copy number variation detection based on constraint least squares	0
Modified recurrent forecasting in singular spectrum analysis using Kalman filter and its application for bicoid signal extraction	0
Multi-way overlapping clustering by Bayesian tensor decomposition	0
A generalized semi-parametric model for jointly analyzing response times and accuracy in computerized testing	0
Community detection in temporal citation network via a tensor-based approach	0
Metric distributional discrepancy in metric space	0
On the optimal configuration of a square array group testing algorithm	0
Estimating individualized treatment rules for multicategory type 2 diabetes treatments using electronic health records	0
Discussion of “Estimation of Hilbertian varying coefficient models”	0
Uniform consistency for local fitting of time series non-parametric regression allowing for discrete-valued response	0
Estimating extreme value index by subsampling for massive datasets with heavy-tailed distributions	0
Compressing recurrent neural network models through principal component analysis	0
An asymptotically normal representation for the minimal clinically important difference under a nonconvex surrogate loss	0
Empirical likelihood-based estimation and inference in randomized controlled trials with high-dimensional covariates	0
A nonparametric concurrent regression model with multivariate functional inputs	0
Detection of signals by Monte Carlo singular spectrum analysis: multiple testing	0
Learning conditional dependence graph for concepts via matrix normal graphical model	0
An iterative algorithm with adaptive weights and sparse Laplacian shrinkage for regression problems	0
Low-rank signal subspace: parameterization, projection and signal estimation	0
Least absolute deviations estimation for nonstationary vector autoregressive time series models with pure unit roots	0
Discussion of “Estimation of Hilbertian varying coefficient models”	0
High-dimensional correlation matrix estimation for Gaussian data: a Bayesian perspective	0