Statistica Sinica

Article	Citations
An Equation for the Identification of Average Causal Effect in Nonlinear Models	8
Spectral distribution of the sample covariance of high-dimensional time series with unit roots	8
Relationship between orthogonal and baseline parameterizations and its applications to design constructions	6
Lévy Adaptive B-spline Regression via Overcomplete Systems	6
Projection-based Inference for High-dimensional Linear Models	6
Eigenvalue Distribution of a High-Dimensional Distance Covariance Matrix With Application	5
Adaptive Tests for Bandedness of High-dimensional Covariance Matrices	5
Hypothesis Testing in High-Dimensional Instrumental Variables Regression With an Application to Genomics Data	5
Principal Components Analysis for Right Censored Data	5
Deep Learning for Marginal Bayesian Posterior Inference with Recurrent Neural Networks	5
Statistical Inference for Heavy-tailed and Partially Nonstationary Vector ARMA Models	4
Directional Tests in Gaussian Graphical Models	4
High-Dimensional Alpha Test of the Linear Factor Pricing Models With Heavy-Tailed Distributions	4
Power Laws Distributions in Objective Priors	4
Estimation for Extreme Conditional Quantiles of Functional Quantile Regression	4
Hypothesis Testing for Block-structured Correlation for High Dimensional Variables	3
Identification of Partial-Differential-Equations-Based Models from Noisy Data with Splines	3
Threshold Estimation in Proportional Mean Residual Life Model	3
A Permutation Test for Two-Sample Means and Signal Identification of High-dimensional Data	3
Kernel Regression Utilizing External Information as Constraints	3
BOLT-SSI: A Statistical Approach to Screening Interaction Effects for Ultra-High Dimensional Data	3
A Note on Information Bias and Efficiency of Composite Likelihood	3
Distributed Sufficient Dimension Reduction for Heterogeneous Massive Data	3
Model Checking in Large-Scale Dataset via Structure-Adaptive-Sampling	3
Identification and Estimation of Treatment Effects on Long-Term Outcomes in Clinical Trials With External Observational Data	3

Regression Analysis of Panel Count Data With Both Time-Dependent Covariates and Time-Varying Effects	3
A Simultaneous Likelihood Test for Joint Mediation Effects of Multiple Mediators	3
Bayesian Estimation of Gaussian Conditional Random Fields	3
Homogeneity Tests for High-dimensional Mean Vectors and Covariance Matrices	3
Frequentist Model Averaging for the Nonparametric Additive Model	3
Minimax Nonparametric Multi-sample Test under Smoothing	2
On Stratified Density Ratio Models	2
A Minimum Discrepancy Approach With Fourier Transform in Sufficient Dimension Reduction	2
Moving Sum Data Segmentation for Stochastic Processes Based on Invariance	2
A Systematic View of Information-Based Optimal Subdata Selection: Algorithm Development, Performance Evaluation, and Application in Financial Data	2
An Unbiased Predictor for Skewed Response Variable with Measurement Error in Covariate	2
Testing for Threshold Regulation in Presence of Measurement Error	2
A New Preferential Model With Homophily for Recommender Systems	2
DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction	2
Inference for Structural Breaks in Spatial Models	2
Sparse Composite Quantile Regression with Ultra-high Dimensional Heterogeneous Data	2
STATISTICAL INFERENCE IN QUANTILE REGRESSION FOR ZERO-INFLATED OUTCOMES	2
Assessing Statistical Disclosure Risk for Differentially Private, Hierarchical Count Data, With Application to the 2020 U. S. Decennial Census	2
The Identifiability of Copula Models for Dependent Competing Risks Data With Exponentially Distributed Margins	2
Learning Non-monotone Optimal Individualized Treatment Regimes	2
Robust Recovery of the Central Subspace for Regression Using the Influence Function of the Rényi Divergence	2
Estimation and Inference for Dynamic Single-Index Varying-Coefficient Models	2
A Spectral-Based Framework for Hypothesis Testing in Populations of Networks	2
Covariance-engaged Classification of Sets via Linear Programming	2
A Comparison of Estimators of Mean and Its Functions in Finite Populations	2
An Adaptive Weighted Component Test for High-Dimensional Means	2
A spline-based nonparametric analysis for interval-censored bivariate survival data	2
Large-Scale Inference of Multivariate Regression for Heavy-Tailed and Asymmetric Data	2
FULL-SEMIPARAMETRIC-LIKELIHOOD-BASED INFERENCE FOR NON-IGNORABLE MISSING DATA	2
Locally D-Optimal Designs for Hierarchical Response Experiments	2
On Rate Optimal Private Regression Under Local Differential Privacy	2
Change-Point Tests for the Tail Parameter of Long Memory Stochastic Volatility Time Series	2
Modeling Nonstationary and Asymmetric Multivariate Spatial Covariances via Deformations	2
Structured Ultrahigh Dimensional Multiple-Index Models with Efficient Estimation in Computation And Theory	2
Sparse Sliced Inverse Regression via Cholesky Matrix Penalization	2
A Clustered Gaussian Process Model for Computer Experiments	2
Towards Optimal Use of Surrogate Markers to Improve Power	2
Weighted Nonlinear Regression With Nonstationary Time Series	2
Bootstrap Adjustment to Minimum p-Value Method for Predictive Classification	2
A Kernel Independence Test Using Projection-Based Measure in High-Dimension	2
Necessary and Sufficient Conditions for Multiple Objective Optimal Regression Designs	2
Parametric Modal Regression with Autocorrelated Error Process	2
Sieve Estimation of a Class of Partially Linear Transformation Models With Interval-Censored Competing Risks Data	2
Sparse and Low-Rank Matrix Quantile Estimation With Application to Quadratic Regression	2
Multiple Improvements of Multiple Imputation Likelihood Ratio Tests	2
Ensemble Subset Regression (ENSURE): Efficient High-dimensional Prediction	2
Community Extraction of Network Data under Stochastic Block Models	2
A Locally Adaptive Shrinkage Approach to False Selection Rate Control in High-Dimensional Classification	1
A Functional Information Criterion for Region Selection in Functional Linear Models	1
Optimal Model Averaging for Single-Index Models With Divergent Dimensions	1

One-Step Regularized Estimator for High-Dimensional Regression Models	1
Semiparametric Causal Mediation Analysis with Unmeasured Mediator-Outcome Confounding	1
On Estimation of the Logarithm of the Mean Squared Prediction Error of A Mixed-effect Predictor	1
Dimension reduction via adaptive slicing	1
Model Selection of Generalized Estimating Equation With Divergent Model Size	1
Copula-Based Functional Bayes Classification With Principal Components and Partial Least Squares	1
ON THE CONSISTENCY OF THE LEAST SQUARES ESTIMATOR IN MODELS SAMPLED AT RANDOM TIMES DRIVEN BY LONG MEMORY NOISE: THE RENEWAL CASE	1
Efficient Diagnostics for Parametric Regression Models with Distortion Measurement Errors Incorporating Dimension-reduction	1
Doubly Coupled Designs for Computer Experiments With Both Qualitative and Quantitative Factors	1
Arc-Sin Transformation for Binomial Sample Proportions in Small Area Estimation	1
Differentiable Particle Filters with Smoothly Jittered Resampling	1
Semiparametric Estimation of Probabilistic Index Models: Efficiency and Bias	1
Mode-Based Classifier: A Robust and Flexible Discriminant Analysis for High-Dimensional Data	1
Interval Estimation for Operating Characteristic Of Continuous Biomarkers With Controlled Sensitivity or Specificity	1
A Zero-imputation Approach in Recommendation Systems with Data Missing Heterogeneously	1
Distributed Sparse Composite Quantile Regression in Ultrahigh Dimensions	1
A Bayesian Subset Specific Approach to Joint Selection of Multiple Graphical Models	1
Dynamic Penalized Splines for Streaming Data	1
A Continuous-Time Stochastic Process for High-Resolution Network Data in Sports	1
A CLASS OF MULTILEVEL NONREGULAR DESIGNS FOR STUDYING QUANTITATIVE FACTORS	1
Scaled Partial Envelope Model in Multivariate Linear Regression	1
Inference for Projection-Based Wasserstein Distances on Finite Spaces	1
Cointegration Rank Estimation for High-Dimensional Time Series With Breaks	1
A More Efficient Isomorphism Check for Two-Level Nonregular Designs	1
Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models	1
Estimation of Simultaneous Signals Using Absolute Inner Product with Applications to Integrative Genomics	1
Extreme Quantile Estimation Based on the Tail Single-index Model	1
Slicing-free Inverse Regression in High-dimensional Sufficient Dimension Reduction	1
The Importance of Being a Band: Finite-Sample Exact Distribution-Free Prediction Sets for Functional Data	1
A Position-Based Approach for Design and Analysis of Order-of-Addition Experiments	1
Partially-Global Fréchet Regression	1
Integrating Incomplete Data for Mediation Analysis	1
Asymptotic Optimality of Cp-Type Criteria in High-Dimensional Multivariate Linear Regression Models	1
Cross Projection Test for High-Dimension Mean Vectors	1
Robust Feature Screening via Distance Correlation for Ultrahigh Dimensional Data With Responses Missing at Random	1
Robust smoothed canonical correlation analysis for functional data	1
Nonparametric Maximum Likelihood Estimation Under a Likelihood Ratio Order	1
Enhanced Structural Break Detection in Functional Means	1
Nonparametric Tests of Independence for Circular Data Based on Trigonometric Moments	1
Robust Optimization and Inference on Manifolds	1
Functional Response Quantile Regression Model	1
Regression with Set-Valued Categorical Predictors	1
Consistency of survival tree and forest models: splitting bias and correction	1
A Stratified Penalized Kernel Method for Semiparametric Variable Labeling and Estimation of Multi-Output Time-Varying Coefficient Models for Nonstationary Time Series	1
Orthogonal Symmetric Non-Negative Matrix Factorization Under the Stochastic Block Model	1
Distributed Empirical Likelihood Approach to Integrating Unbalanced Datasets	1
Feature-Weighted Elastic Net: Using "Features of Features" for Better Prediction	1
Heavy-Tailed Distribution for Combining Dependent P-Values With Asymptotic Robustness	1
Perfect Spectral Clustering with Discrete Covariates	1
Identifying Latent Groups in Spatial Panel Data Using a Markov Random Field Constrained Product Partition Model	1
Time series models for realized covariance matrices based on the matrix-F distribution	1
Modeling Spiky Functional Data With Derivatives of Smooth Functions in Function-on-Function Regression	1
Efficient Estimation for Dimension Reduction with Censored Survival Data	1
A Construction Method for Maximin L1-Distance Latin Hypercube Designs	1
Statistical Inference for Mean Function of Longitudinal Imaging Data over Complicated Domains	1
A stable and more efficient doubly robust estimator	1
De-biasing Particle Filtering for a Continuous Time Hidden Markov Model With a Cox Process Observation Model	1
The Tucker Low-Rank Classification Model for Tensor Data	1
Two-Sample Tests for Relevant Differences in the Eigenfunctions of Covariance Operators	1
An Iterated Block Particle Filter for Inference on Coupled Dynamic Systems With Shared and Unit-Specific Parameters	1
Partially Linear Additive Functional Regression	1
Constrained D-optimal Design for Paid Research Study	1
Testing Hypotheses of Covariate-Adaptive Randomized Clinical Trials with Time-to-event Outcomes under the AFT Model	1
Robust Recommendation via Social Network Enhanced Matrix Completion	1
A Unified Framework for Change Point Detection in High-Dimensional Linear Models	1
A Unified Approach to Focused Information Criterion and Plug-In Averaging Method	1
A Review on Sliced Inverse Regression, Sufficient Dimension Reduction, and Applications	1
Nonparametric Bayesian Two-Level Clustering for Subject-Level Single-Cell Expression Data	1
Detecting Multiple Change Points: The PULSE Criterion	1
High-dimensional Varying Index Coefficient Quantile Regression Model	1
Detecting Abrupt Changes in High-Dimensional Self-Exciting Poisson Processes	1
State Space Emulation and Annealed Sequential Monte Carlo for High Dimensional Optimization	1
Elastic-net Regularized High-dimensional Negative Binomial Regression: Consistency and Weak Signal Detection	1
Construction of strong group-orthogonal arrays	1
Inferring Social Influence in Dynamic Networks	1
Power Boosting: Fusion of Multiple Test Statistics via Resampling	1
Test for Zero Mean of Errors In An ARMA-GGARCH Model After Using A Median Inference	1
A Divide and Conquer Sequential Monte Carlo Approach to High Dimensional Filtering	1
Infinite Arms Bandit: Optimality via Confidence Bounds	1
Optimally Monitoring a Network of Sewage Manholes in Infectious Disease Surveillance	1

On Combining Individual-Level Data With Summary Data in Statistical Inferences	1
Multivariate Calibrations with Auxiliary Information	1
Asymptotic Behaviour of the Modified Likelihood Root	1
Designs for Order-of-Addition Screening Experiments	1
One Step to Efficient Synthetic Data	1
A Unified Framework for Tuning Hyperparameters in Clustering Problems	1
Sample Empirical Likelihood and the Design-based Oracle Variable Selection Theory	1
Compound Sequential Change-point Detection in Parallel Data Streams	1
Efficient estimation and computation in generalized varying coefficient models with unknown link and variance functions for large-scale data	1
Shape Constrained Kernel PDF and PMF Estimation	1
Graph-based two-sample tests for data with repeated observations	1
Sparse and Debiased Adaptive Huber Regression in Distributed Data: Aggregated and Communication-Efficient Approaches	1
Optimal Classification for Functional Data	0
An Adaptively Resized Parametric Bootstrap for Inference in High-dimensional Generalized Linear Models	0
Globally Adaptive Longitudinal Quantile Regression With High Dimensional Compositional Covariates	0
Inference with Combining Rules from Multiple Differentially Private Synthetic Datasets	0
An Online Projection Estimator for Nonparametric Regression in Reproducing Kernel Hilbert Spaces	0
Resampling Strategy in Sequential Monte Carlo for Constrained Sampling Problems	0
Test of the Latent Dimension of a Spatial Blind Source Separation Model	0
Robust Shape Matrix Estimation for High-Dimensional Compositional Data with Application to Microbial Inter-Taxa Analysis	0
Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy	0
New Tests for High-Dimensional Linear Regression Based on Random Projection	0
Heterogeneity Analysis via Integrating Multi-Sources High-Dimensional Data With Applications to Cancer Studies	0
Data-guided Treatment Recommendation with Feature Scores	0
Activation Discovery With FDR Control: Application to FMRI Data	0
Bayesian Consistency with the Supremum Metric	0
Spatial Autoregressive Models with Generalized Spatial Disturbances	0
An Integer Programming Algorithm for Constructing Maximin Distance Designs From Good Lattice Point Sets	0
CLT For U-statistics With Growing Dimension	0
Functional Horseshoe Smoothing for Functional Trend Estimation	0
A New Paradigm for Generative Adversarial Networks Based on Randomized Decision Rules	0
Empirical Priors and Posterior Concentration in a Piecewise Polynomial Sequence Model	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
Stable Combination Tests	0
A Data Fusion Method for Quantile Treatment Effects	0
On Block Cholesky Decomposition for Sparse Inverse Covariance Estimation	0
CONDITIONAL MARGINAL TEST FOR HIGH DIMENSIONAL QUANTILE REGRESSION	0
An Efficient Convex Formulation for Reduced-Rank Linear Discriminant Analysis in High Dimensions	0
Measuring, Testing, and Identifying Heterogeneity of Large Parallel Datasets	0
Fast Convergence on Perfect Classification for Functional Data	0
Score Tests With Incomplete Covariates and High-Dimensional Auxiliary Variables	0
An iterative algorithm to learn from positive and unlabeled examples	0
Hypothesis Testing for Network Data with Power Enhancement	0
Functional Threshold Autoregressive Model	0
Simultaneous Functional Quantile Regression	0
Time-Varying Correlation for Noncentered Nonstationary Time Series: Simultaneous Inference and Visualization	0
Uncertainty Quantification in Dynamic Image Reconstruction with Applications to Cryo-EM	0
Differentially Private Hypothesis Testing With the Subsampled and Aggregated Randomized Response Mechanism	0
A Bayesian Approach to Envelope Quantile Regression	0
A Maximin Φp-Efficient Design for Multivariate Generalized Linear Models	0
Small Area Estimation using EBLUPs under the Nested Error Regression Model	0
Adaptive Change Point Monitoring for High-Dimensional Data	0
Conditional Test for Ultrahigh Dimensional Linear Regression Coefficients	0
Factor-augmented Model for Functional Data	0
Asymptotic Independence of the Sum and Maximum of Dependent Random Variables with Applications to High-dimensional Tests	0
Robust Rank Canonical Correlation Analysis for Multivariate Survival Data	0
Sufficient cause interactions for categorical and ordinal outcomes	0
Trade-off Between Validity and Efficiency of Merging P-Values Under Arbitrary Dependence	0
Nonparametric covariance estimation for mixed longitudinal studies, with applications in midlife women's health	0
Maximum Likelihood Estimation for Cox Proportional Hazards Model with a Change Hyperplane	0
Consistent Screening Procedures in High-dimensional Binary Classification	0
Rank Based Tests for High Dimensional White Noise	0
Subsampling Based Community Detection for Large Networks	0
Performance Assessment of High-dimensional Variable Identification	0
Grouped Network Poisson Autoregressive Model	0
Estimating Boltzmann Averages for Protein Structural Quantities Using Sequential Monte Carlo	0
Statistical Inference for High-Dimensional Vector Autoregression with Measurement Error	0
Inference on Large-scale Partially Functional Linear Model with Heterogeneous Errors	0
Long-memory Log-linear Zero-inflated Generalized Poisson Autoregression for Covid-19 Pandemic Modeling	0
Statistical Inference for Genetic Relatedness Based on High-Dimensional Logistic Regression	0
Nonlinear dimension reduction for functional data with application to clustering	0
A Unified Inference Framework for Multiple Imputation Using Martingales	0
Power Enhancement for Dimension Detection of Gaussian Signals	0
Linear Discriminant Analysis with Sparse and Dense Signals	0
Impact Analysis for Spatial Autoregressive Models: With Application to Air Pollution in China	0
High-Dimensional Scale Invariant Discriminant Analysis	0
Asymptotically Optimal Multistage Tests for Non-iid Data	0
Gaussian Mixture Models with Concave Penalized Fusion	0
An Rkhs Approach for Pivotal Inference in Functional Linear Regression	0
Group Testing Regression Analysis with Missing Data and Imperfect Tests	0
High-Dimensional Factor Regression for Heterogeneous Subpopulations	0
Greedy Variable Selection for High-Dimensional Cox Models	0
Distributed Logistic Regression for Massive Data with Rare Events	0
Data Integration in High Dimension With Multiple Quantiles	0
Multiscale Tests for Point Processes and Longitudinal Networks	0
Sparse Functional Principal Component Analysis in High Dimensions	0
Parametric Bootstrap Inference for Stratified Models With High-Dimensional Nuisance Specifications	0
Optimal Subsampling for Multinomial Logistic Models With Big Data	0
A proximal dual semismooth Newton method for zero-norm penalized quantile regression estimator	0
Empirical Likelihood Inference of Variance Components in Linear Mixed-Effects Models	0
A Bayesian Framework for Sparse Estimation in High-Dimensional Mixed Frequency Vector Autoregressive Models	0
Drift Estimation of the Threshold Ornstein-Uhlenbeck Process From Continuous and Discrete Observations	0
Joint Modeling of Change-Point Identification and Dependent Dynamic Community Detection	0