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
Lévy Adaptive B-spline Regression via Overcomplete Systems	6
Projection-based Inference for High-dimensional Linear Models	6
Relationship between orthogonal and baseline parameterizations and its applications to design constructions	6
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
Eigenvalue Distribution of a High-Dimensional Distance Covariance Matrix With Application	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
An Unbiased Predictor for Skewed Response Variable with Measurement Error in Covariate	2
A Systematic View of Information-Based Optimal Subdata Selection: Algorithm Development, Performance Evaluation, and Application in Financial Data	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
Robust Recovery of the Central Subspace for Regression Using the Influence Function of the Rényi Divergence	2
Learning Non-monotone Optimal Individualized Treatment Regimes	2
A Spectral-Based Framework for Hypothesis Testing in Populations of Networks	2
Estimation and Inference for Dynamic Single-Index Varying-Coefficient Models	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
Structured Ultrahigh Dimensional Multiple-Index Models with Efficient Estimation in Computation And Theory	2
Modeling Nonstationary and Asymmetric Multivariate Spatial Covariances via Deformations	2
A Clustered Gaussian Process Model for Computer Experiments	2
Sparse Sliced Inverse Regression via Cholesky Matrix Penalization	2
Weighted Nonlinear Regression With Nonstationary Time Series	2
Towards Optimal Use of Surrogate Markers to Improve Power	2
A Kernel Independence Test Using Projection-Based Measure in High-Dimension	2
Bootstrap Adjustment to Minimum p-Value Method for Predictive Classification	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
On Stratified Density Ratio Models	2
Minimax Nonparametric Multi-sample Test under Smoothing	2
Moving Sum Data Segmentation for Stochastic Processes Based on Invariance	2
A Minimum Discrepancy Approach With Fourier Transform in Sufficient Dimension Reduction	2
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
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
Mode-Based Classifier: A Robust and Flexible Discriminant Analysis for High-Dimensional Data	1
A Bayesian Subset Specific Approach to Joint Selection of Multiple Graphical Models	1
Dynamic Penalized Splines for Streaming Data	1
Cointegration Rank Estimation for High-Dimensional Time Series With Breaks	1
Distributed Sparse Composite Quantile Regression in Ultrahigh Dimensions	1
A CLASS OF MULTILEVEL NONREGULAR DESIGNS FOR STUDYING QUANTITATIVE FACTORS	1
Scaled Partial Envelope Model in Multivariate Linear Regression	1
A Continuous-Time Stochastic Process for High-Resolution Network Data in Sports	1
Extreme Quantile Estimation Based on the Tail Single-index Model	1
A More Efficient Isomorphism Check for Two-Level Nonregular Designs	1
Estimation of Simultaneous Signals Using Absolute Inner Product with Applications to Integrative Genomics	1
Inference for Projection-Based Wasserstein Distances on Finite Spaces	1
Partially-Global Fréchet Regression	1
Slicing-free Inverse Regression in High-dimensional Sufficient Dimension Reduction	1
A Position-Based Approach for Design and Analysis of Order-of-Addition Experiments	1
Cross Projection Test for High-Dimension Mean Vectors	1
Integrating Incomplete Data for Mediation Analysis	1
Asymptotic Optimality of Cp-Type Criteria in High-Dimensional Multivariate Linear Regression Models	1
Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models	1
Nonparametric Maximum Likelihood Estimation Under a Likelihood Ratio Order	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
The Importance of Being a Band: Finite-Sample Exact Distribution-Free Prediction Sets for Functional Data	1
Nonparametric Tests of Independence for Circular Data Based on Trigonometric Moments	1
Enhanced Structural Break Detection in Functional Means	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
Feature-Weighted Elastic Net: Using "Features of Features" for Better Prediction	1
Heavy-Tailed Distribution for Combining Dependent P-Values With Asymptotic Robustness	1
Distributed Empirical Likelihood Approach to Integrating Unbalanced Datasets	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
A stable and more efficient doubly robust estimator	1
Perfect Spectral Clustering with Discrete Covariates	1
Efficient Estimation for Dimension Reduction with Censored Survival Data	1
A Construction Method for Maximin L1-Distance Latin Hypercube Designs	1
Modeling Spiky Functional Data With Derivatives of Smooth Functions in Function-on-Function Regression	1
An Iterated Block Particle Filter for Inference on Coupled Dynamic Systems With Shared and Unit-Specific Parameters	1
De-biasing Particle Filtering for a Continuous Time Hidden Markov Model With a Cox Process Observation Model	1
Two-Sample Tests for Relevant Differences in the Eigenfunctions of Covariance Operators	1
Statistical Inference for Mean Function of Longitudinal Imaging Data over Complicated Domains	1
Testing Hypotheses of Covariate-Adaptive Randomized Clinical Trials with Time-to-event Outcomes under the AFT Model	1
Partially Linear Additive Functional Regression	1
Constrained D-optimal Design for Paid Research Study	1
A Unified Approach to Focused Information Criterion and Plug-In Averaging Method	1
Robust Recommendation via Social Network Enhanced Matrix Completion	1
A Unified Framework for Change Point Detection in High-Dimensional Linear Models	1
The Tucker Low-Rank Classification Model for Tensor Data	1
Detecting Multiple Change Points: The PULSE Criterion	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
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
Infinite Arms Bandit: Optimality via Confidence Bounds	1
Optimally Monitoring a Network of Sewage Manholes in Infectious Disease Surveillance	1
A Divide and Conquer Sequential Monte Carlo Approach to High Dimensional Filtering	1
Multivariate Calibrations with Auxiliary Information	1
Asymptotic Behaviour of the Modified Likelihood Root	1
On Combining Individual-Level Data With Summary Data in Statistical Inferences	1
Compound Sequential Change-point Detection in Parallel Data Streams	1
One Step to Efficient Synthetic Data	1
Sample Empirical Likelihood and the Design-based Oracle Variable Selection Theory	1
Designs for Order-of-Addition Screening Experiments	1
Sparse and Debiased Adaptive Huber Regression in Distributed Data: Aggregated and Communication-Efficient Approaches	1
Efficient estimation and computation in generalized varying coefficient models with unknown link and variance functions for large-scale data	1
Graph-based two-sample tests for data with repeated observations	1
Optimal Model Averaging for Single-Index Models With Divergent Dimensions	1

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
A Unified Framework for Tuning Hyperparameters in Clustering Problems	1
On Estimation of the Logarithm of the Mean Squared Prediction Error of A Mixed-effect Predictor	1
One-Step Regularized Estimator for High-Dimensional Regression Models	1
Semiparametric Causal Mediation Analysis with Unmeasured Mediator-Outcome Confounding	1
Shape Constrained Kernel PDF and PMF Estimation	1
Copula-Based Functional Bayes Classification With Principal Components and Partial Least Squares	1
Dimension reduction via adaptive slicing	1
Model Selection of Generalized Estimating Equation With Divergent Model Size	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