Statistica Sinica

Article	Citations
Projection-based Inference for High-dimensional Linear Models	11
Relationship between orthogonal and baseline parameterizations and its applications to design constructions	8
Lévy Adaptive B-spline Regression via Overcomplete Systems	8
Spectral distribution of the sample covariance of high-dimensional time series with unit roots	7
An Equation for the Identification of Average Causal Effect in Nonlinear Models	7
Power Laws Distributions in Objective Priors	6
Hypothesis Testing in High-Dimensional Instrumental Variables Regression With an Application to Genomics Data	6
Adaptive Tests for Bandedness of High-dimensional Covariance Matrices	6
Principal Components Analysis for Right Censored Data	6
High-Dimensional Alpha Test of the Linear Factor Pricing Models With Heavy-Tailed Distributions	6
Eigenvalue Distribution of a High-Dimensional Distance Covariance Matrix With Application	6
Directional Tests in Gaussian Graphical Models	5
Threshold Estimation in Proportional Mean Residual Life Model	5
Regression Analysis of Panel Count Data With Both Time-Dependent Covariates and Time-Varying Effects	5
Statistical Inference for Heavy-tailed and Partially Nonstationary Vector ARMA Models	5
Estimation for Extreme Conditional Quantiles of Functional Quantile Regression	5
Deep Learning for Marginal Bayesian Posterior Inference with Recurrent Neural Networks	5
A Note on Information Bias and Efficiency of Composite Likelihood	5
Identification of Partial-Differential-Equations-Based Models from Noisy Data with Splines	5
BOLT-SSI: A Statistical Approach to Screening Interaction Effects for Ultra-High Dimensional Data	5
A Permutation Test for Two-Sample Means and Signal Identification of High-dimensional Data	4
Distributed Sufficient Dimension Reduction for Heterogeneous Massive Data	4
Bayesian Estimation of Gaussian Conditional Random Fields	4
Hypothesis Testing for Block-structured Correlation for High Dimensional Variables	4
Model Checking in Large-Scale Dataset via Structure-Adaptive-Sampling	4

Identification and Estimation of Treatment Effects on Long-Term Outcomes in Clinical Trials With External Observational Data	4
Frequentist Model Averaging for the Nonparametric Additive Model	4
A Simultaneous Likelihood Test for Joint Mediation Effects of Multiple Mediators	4
A Kernel Independence Test Using Projection-Based Measure in High-Dimension	4
Sparse Composite Quantile Regression with Ultra-high Dimensional Heterogeneous Data	3
Minimax Nonparametric Multi-sample Test under Smoothing	3
Inference for Structural Breaks in Spatial Models	3
DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction	3
Testing for Threshold Regulation in Presence of Measurement Error	3
Covariance-engaged Classification of Sets via Linear Programming	3
An Adaptive Weighted Component Test for High-Dimensional Means	3
A Systematic View of Information-Based Optimal Subdata Selection: Algorithm Development, Performance Evaluation, and Application in Financial Data	3
FULL-SEMIPARAMETRIC-LIKELIHOOD-BASED INFERENCE FOR NON-IGNORABLE MISSING DATA	3
Bootstrap Adjustment to Minimum p-Value Method for Predictive Classification	3
Necessary and Sufficient Conditions for Multiple Objective Optimal Regression Designs	3
A spline-based nonparametric analysis for interval-censored bivariate survival data	3
Large-Scale Inference of Multivariate Regression for Heavy-Tailed and Asymmetric Data	3
Parametric Modal Regression with Autocorrelated Error Process	3
Towards Optimal Use of Surrogate Markers to Improve Power	3
Modeling Nonstationary and Asymmetric Multivariate Spatial Covariances via Deformations	3
Sparse Sliced Inverse Regression via Cholesky Matrix Penalization	3
A Clustered Gaussian Process Model for Computer Experiments	3
A New Preferential Model With Homophily for Recommender Systems	3
Kernel Regression Utilizing External Information as Constraints	3
Homogeneity Tests for High-dimensional Mean Vectors and Covariance Matrices	3
Learning Non-monotone Optimal Individualized Treatment Regimes	3
A Minimum Discrepancy Approach With Fourier Transform in Sufficient Dimension Reduction	3
Locally D-Optimal Designs for Hierarchical Response Experiments	3
Two-Sample Tests for Relevant Differences in the Eigenfunctions of Covariance Operators	2
Optimal Model Averaging for Single-Index Models With Divergent Dimensions	2
A Unified Approach to Focused Information Criterion and Plug-In Averaging Method	2
Feature-Weighted Elastic Net: Using "Features of Features" for Better Prediction	2
Change-Point Tests for the Tail Parameter of Long Memory Stochastic Volatility Time Series	2
An Unbiased Predictor for Skewed Response Variable with Measurement Error in Covariate	2
Interval Estimation for Operating Characteristic Of Continuous Biomarkers With Controlled Sensitivity or Specificity	2
Moving Sum Data Segmentation for Stochastic Processes Based on Invariance	2
The Identifiability of Copula Models for Dependent Competing Risks Data With Exponentially Distributed Margins	2
Differentiable Particle Filters with Smoothly Jittered Resampling	2
Multiple Improvements of Multiple Imputation Likelihood Ratio Tests	2
Multivariate Calibrations with Auxiliary Information	2
Weighted Nonlinear Regression With Nonstationary Time Series	2
Cointegration Rank Estimation for High-Dimensional Time Series With Breaks	2
Sample Empirical Likelihood and the Design-based Oracle Variable Selection Theory	2
Extreme Quantile Estimation Based on the Tail Single-index Model	2
Sparse and Debiased Adaptive Huber Regression in Distributed Data: Aggregated and Communication-Efficient Approaches	2
Testing Hypotheses of Covariate-Adaptive Randomized Clinical Trials with Time-to-event Outcomes under the AFT Model	2
Copula-Based Functional Bayes Classification With Principal Components and Partial Least Squares	2
Compound Sequential Change-point Detection in Parallel Data Streams	2
Sieve Estimation of a Class of Partially Linear Transformation Models With Interval-Censored Competing Risks Data	2
Ensemble Subset Regression (ENSURE): Efficient High-dimensional Prediction	2

Estimation and Inference for Dynamic Single-Index Varying-Coefficient Models	2
Infinite Arms Bandit: Optimality via Confidence Bounds	2
A Spectral-Based Framework for Hypothesis Testing in Populations of Networks	2
On Rate Optimal Private Regression Under Local Differential Privacy	2
An Iterated Block Particle Filter for Inference on Coupled Dynamic Systems With Shared and Unit-Specific Parameters	2
STATISTICAL INFERENCE IN QUANTILE REGRESSION FOR ZERO-INFLATED OUTCOMES	2
Construction of strong group-orthogonal arrays	2
On Stratified Density Ratio Models	2
Asymptotic Optimality of Cp-Type Criteria in High-Dimensional Multivariate Linear Regression Models	2
Robust Optimization and Inference on Manifolds	2
Partially-Global Fréchet Regression	2
Cross Projection Test for High-Dimension Mean Vectors	2
On Estimation of the Logarithm of the Mean Squared Prediction Error of A Mixed-effect Predictor	2
A Bayesian Subset Specific Approach to Joint Selection of Multiple Graphical Models	2
Nonparametric Maximum Likelihood Estimation Under a Likelihood Ratio Order	2
Robust Recovery of the Central Subspace for Regression Using the Influence Function of the Rényi Divergence	2
Efficient Estimation for Dimension Reduction with Censored Survival Data	2
Sparse and Low-Rank Matrix Quantile Estimation With Application to Quadratic Regression	2
Identifying Latent Groups in Spatial Panel Data Using a Markov Random Field Constrained Product Partition Model	2
Assessing Statistical Disclosure Risk for Differentially Private, Hierarchical Count Data, With Application to the 2020 U. S. Decennial Census	2
Community Extraction of Network Data under Stochastic Block Models	2
A CLASS OF MULTILEVEL NONREGULAR DESIGNS FOR STUDYING QUANTITATIVE FACTORS	2
A Comparison of Estimators of Mean and Its Functions in Finite Populations	2
Constrained D-optimal Design for Paid Research Study	2
Structured Ultrahigh Dimensional Multiple-Index Models with Efficient Estimation in Computation And Theory	2
Graph-based two-sample tests for data with repeated observations	2
A Stratified Penalized Kernel Method for Semiparametric Variable Labeling and Estimation of Multi-Output Time-Varying Coefficient Models for Nonstationary Time Series	2
One Step to Efficient Synthetic Data	1
Perfect Spectral Clustering with Discrete Covariates	1
On Construction of Nonregular Two-Level Factorial Designs With Maximum Generalized Resolutions	1
A Position-Based Approach for Design and Analysis of Order-of-Addition Experiments	1
Multi-response Regression for Block-missing Multi-modal Data without Imputation	1
Time series models for realized covariance matrices based on the matrix-F distribution	1
A Review on Sliced Inverse Regression, Sufficient Dimension Reduction, and Applications	1
Semiparametric Causal Mediation Analysis with Unmeasured Mediator-Outcome Confounding	1
Adjusting systematic bias in high dimensional principal component scores	1
Leverage Classifier: Another Look at Support Vector Machine	1
A Unified Framework for Tuning Hyperparameters in Clustering Problems	1
Nonparametric Tests of Independence for Circular Data Based on Trigonometric Moments	1
A Bernstein-type Inequality for High Dimensional Linear Processes with Applications to Robust Estimation of Time Series Regressions	1
Order Determination for Spiked Type Models	1
Slicing-free Inverse Regression in High-dimensional Sufficient Dimension Reduction	1
Inference for Projection-Based Wasserstein Distances on Finite Spaces	1
Spatial-temporal Model with Heterogeneous Random Effects	1
Asymptotic Analysis of Mis-Classified Linear Mixed Models	1
Integrating Incomplete Data for Mediation Analysis	1
Doubly Coupled Designs for Computer Experiments With Both Qualitative and Quantitative Factors	1
Model Checking for Parametric Ordinary Differential Equations Systems	1
Arc-Sin Transformation for Binomial Sample Proportions in Small Area Estimation	1
Robust Feature Screening via Distance Correlation for Ultrahigh Dimensional Data With Responses Missing at Random	1
On the Efficiency of Composite Likelihood Estimation for Gaussian Spatial Processes	1
Elastic-net Regularized High-dimensional Negative Binomial Regression: Consistency and Weak Signal Detection	1
Extreme-value Test for Structural Breaks in Spatial Trends	1
Modeling Spiky Functional Data With Derivatives of Smooth Functions in Function-on-Function Regression	1
Efficient Diagnostics for Parametric Regression Models with Distortion Measurement Errors Incorporating Dimension-reduction	1
Orthogonal Symmetric Non-Negative Matrix Factorization Under the Stochastic Block Model	1
Shape Constrained Kernel PDF and PMF Estimation	1
Model Selection of Generalized Estimating Equation With Divergent Model Size	1
A More Efficient Isomorphism Check for Two-Level Nonregular Designs	1
A Zero-imputation Approach in Recommendation Systems with Data Missing Heterogeneously	1
A Construction Method for Maximin L1-Distance Latin Hypercube Designs	1
Distributed Empirical Likelihood Approach to Integrating Unbalanced Datasets	1
Identifiability of Hierarchical Latent Attribute Models	1
A Divide and Conquer Sequential Monte Carlo Approach to High Dimensional Filtering	1
Distributed Mean Dimension Reduction Through Semi-parametric Approaches	1
De-biasing Particle Filtering for a Continuous Time Hidden Markov Model With a Cox Process Observation Model	1
A stable and more efficient doubly robust estimator	1
Mutual Influence Regression Model	1
Semiparametric Reversed Mean Model for Recurrent Event Process with Informative Terminal Event	1
Robust Recommendation via Social Network Enhanced Matrix Completion	1
Nonparametric Bayesian Two-Level Clustering for Subject-Level Single-Cell Expression Data	1
Hypothesis Test on a Mixture Forward-Incubation-Time Epidemic Model With Application to COVID-19 Outbreak	1
On the Estimation of High-Dimensional Integrated Covariance Matrix Based on High-Frequency Data With Multiple Transactions	1
Mode-Based Classifier: A Robust and Flexible Discriminant Analysis for High-Dimensional Data	1
Power Boosting: Fusion of Multiple Test Statistics via Resampling	1
Empirical Likelihood Using External Summary Information	1
SEAMLESS PHASE II/III CLINICAL TRIALS WITH COVARIATE ADAPTIVE RANDOMIZATION	1
Functional Response Quantile Regression Model	1
Enhanced Structural Break Detection in Functional Means	1
On Construction of Optimal Exact Confidence Intervals	1

One-Step Regularized Estimator for High-Dimensional Regression Models	1
A Unified Framework for Change Point Detection in High-Dimensional Linear Models	1
Orthogonal Minimally Aliased Response Surface Designs for Three-Level Quantitative Factors and Two-Level Categorical Factors	1
The Importance of Being a Band: Finite-Sample Exact Distribution-Free Prediction Sets for Functional Data	1
Dimension reduction via adaptive slicing	1
Collective Anomaly Detection in High-Dimensional Var Models	1
The Tucker Low-Rank Classification Model for Tensor Data	1
A METHOD OF LOCAL INFLUENCE ANALYSIS IN SUFFICIENT DIMENSION REDUCTION	1
Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models	1
Distributed Sparse Composite Quantile Regression in Ultrahigh Dimensions	1
Optimally Monitoring a Network of Sewage Manholes in Infectious Disease Surveillance	1
Detecting Multiple Change Points: The PULSE Criterion	1
Test for Zero Mean of Errors In An ARMA-GGARCH Model After Using A Median Inference	1
Transfer Learning for High-Dimensional Quantile Regression via Convolution Smoothing	1
Spatiotemporal Autoregressive Partially Linear Varying Coefficient Models	1
Scaled Partial Envelope Model in Multivariate Linear Regression	1
A Continuous-Time Stochastic Process for High-Resolution Network Data in Sports	1
Causal Inference from Possibly Unbalanced Split-Plot Designs: A Randomization-based Perspective	1
Functional-Input Gaussian Processes with Applications to Inverse Scattering Problems	1
Parsimonious Tensor Discriminant Analysis	1
Statistical Inference for Mean Function of Longitudinal Imaging Data over Complicated Domains	1
Regression with Set-Valued Categorical Predictors	1
A Locally Adaptive Shrinkage Approach to False Selection Rate Control in High-Dimensional Classification	1
Semiparametric Estimation of Non-ignorable Missingness With Refreshment Sample	1
Designs for Order-of-Addition Screening Experiments	1
Robust smoothed canonical correlation analysis for functional data	1
Metric Learning via Cross-Validation	1
Prior Knowledge Guided Ultra-High Dimensional Variable Screening With Application to Neuroimaging Data	1
Heavy-Tailed Distribution for Combining Dependent P-Values With Asymptotic Robustness	1
State Space Emulation and Annealed Sequential Monte Carlo for High Dimensional Optimization	1
Inference for Change Points in High Dimensional Mean Shift Models	1
Statistical Analysis of Quantum Annealing	1
Detecting Abrupt Changes in High-Dimensional Self-Exciting Poisson Processes	1
High-dimensional Varying Index Coefficient Quantile Regression Model	1
Optimal Sequential Tests for Monitoring Changes in the Distribution of Finite Observation Sequences	1
Partially Linear Additive Functional Regression	1
A Functional Information Criterion for Region Selection in Functional Linear Models	1
A Universal Test on Spikes in a High-Dimensional Generalized Spiked Model and Its Applications	1
Consistency of survival tree and forest models: splitting bias and correction	1
Correction: Derivative principal components for representing the time dynamics of longitudinal and functional data	1
Inferring Social Influence in Dynamic Networks	1
Efficient estimation and computation in generalized varying coefficient models with unknown link and variance functions for large-scale data	1
Dynamic Penalized Splines for Streaming Data	1
ON THE CONSISTENCY OF THE LEAST SQUARES ESTIMATOR IN MODELS SAMPLED AT RANDOM TIMES DRIVEN BY LONG MEMORY NOISE: THE RENEWAL CASE	1
On Combining Individual-Level Data With Summary Data in Statistical Inferences	1
Simplex-based Multinomial Logistic Regression with Diverging Numbers of Categories and Covariates	1
Estimation of Simultaneous Signals Using Absolute Inner Product with Applications to Integrative Genomics	1
Semiparametric Estimation of Probabilistic Index Models: Efficiency and Bias	1
Asymptotic Behaviour of the Modified Likelihood Root	1
Penalized Jackknife Empirical Likelihood in High Dimensions	1
Optimal Subsampling for Multinomial Logistic Models With Big Data	0
Maximum Likelihood Estimation for Cox Proportional Hazards Model with a Change Hyperplane	0
Mechanisms for Global Differential Privacy under Bayesian Data Synthesis	0
Robust Inference of Conditional Average Treatment Effects Using Dimension Reduction	0
Particle-based, Rapid Incremental Smoother Meets Particle Gibbs	0
Power Enhancement for Dimension Detection of Gaussian Signals	0
Greedy Variable Selection for High-Dimensional Cox Models	0
Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference	0
CLT For U-statistics With Growing Dimension	0
A New Paradigm for Generative Adversarial Networks Based on Randomized Decision Rules	0
Empirical Likelihood Ratio Tests for Varying Coefficient Geo Models	0
Subsampling and Jackknifing: A Practically Convenient Solution for Large Data Analysis With Limited Computational Resources	0
Sliced Inverse Regression in Metric Spaces	0
Estimating Boltzmann Averages for Protein Structural Quantities Using Sequential Monte Carlo	0
Asymptotic Independence of the Sum and Maximum of Dependent Random Variables with Applications to High-dimensional Tests	0
Semiparametric Maximum Likelihood Estimation With Two-Phase Stratified Case-Control Sampling	0
An Efficient Convex Formulation for Reduced-Rank Linear Discriminant Analysis in High Dimensions	0
Long-memory Log-linear Zero-inflated Generalized Poisson Autoregression for Covid-19 Pandemic Modeling	0
Adaptive Change Point Monitoring for High-Dimensional Data	0
Sharp Bounds for Variance of Treatment Effect Estimators in the Presence of Covariates	0
Rank Based Tests for High Dimensional White Noise	0
Sparse Functional Principal Component Analysis in High Dimensions	0
Nonparametric covariance estimation for mixed longitudinal studies, with applications in midlife women's health	0
Functional Horseshoe Smoothing for Functional Trend Estimation	0
Statistical Inference for High-Dimensional Vector Autoregression with Measurement Error	0
Score Tests With Incomplete Covariates and High-Dimensional Auxiliary Variables	0
Robust Rank Canonical Correlation Analysis for Multivariate Survival Data	0
Parametric Bootstrap Inference for Stratified Models With High-Dimensional Nuisance Specifications	0
Group Testing Regression Analysis with Missing Data and Imperfect Tests	0
Distributed Logistic Regression for Massive Data with Rare Events	0
Consistent Screening Procedures in High-dimensional Binary Classification	0
Subsampling Based Community Detection for Large Networks	0
Locally Sparse Estimator of Generalized Varying Coefficient Model for Asynchronous Longitudinal Data	0
Empirical Priors and Posterior Concentration in a Piecewise Polynomial Sequence Model	0
Gaussian Mixture Models with Concave Penalized Fusion	0
Spatial Autoregressive Models with Generalized Spatial Disturbances	0
Data Integration in High Dimension With Multiple Quantiles	0
Trade-off Between Validity and Efficiency of Merging P-Values Under Arbitrary Dependence	0
Inference with Combining Rules from Multiple Differentially Private Synthetic Datasets	0
Multiscale Tests for Point Processes and Longitudinal Networks	0
High-Dimensional Factor Regression for Heterogeneous Subpopulations	0
An Adaptively Resized Parametric Bootstrap for Inference in High-dimensional Generalized Linear Models	0
Bayesian Consistency with the Supremum Metric	0
Empirical Likelihood Inference of Variance Components in Linear Mixed-Effects Models	0
An Integer Programming Algorithm for Constructing Maximin Distance Designs From Good Lattice Point Sets	0