Statistica Sinica

Article	Citations
Lévy Adaptive B-spline Regression via Overcomplete Systems	17
An Equation for the Identification of Average Causal Effect in Nonlinear Models	8
Hypothesis Testing in High-Dimensional Instrumental Variables Regression With an Application to Genomics Data	7
Principal Components Analysis for Right Censored Data	6
Eigenvalue Distribution of a High-Dimensional Distance Covariance Matrix With Application	6
High-Dimensional Alpha Test of the Linear Factor Pricing Models With Heavy-Tailed Distributions	6
Identification of Partial-Differential-Equations-Based Models from Noisy Data with Splines	5
Threshold Estimation in Proportional Mean Residual Life Model	5
Estimation for Extreme Conditional Quantiles of Functional Quantile Regression	5
Powerful Spatial Multiple Testing via Borrowing Neighboring Information	5
Adaptive Tests for Bandedness of High-dimensional Covariance Matrices	5
A Note on Information Bias and Efficiency of Composite Likelihood	5
Deep Learning for Marginal Bayesian Posterior Inference with Recurrent Neural Networks	5
Power Laws Distributions in Objective Priors	5
Improve Efficiency of Doubly Robust Estimator when Propensity Score is Misspecified	5
Statistical Inference for Heavy-tailed and Partially Nonstationary Vector ARMA Models	5
Directional Tests in Gaussian Graphical Models	5
Regression Analysis of Panel Count Data With Both Time-Dependent Covariates and Time-Varying Effects	5
A Simultaneous Likelihood Test for Joint Mediation Effects of Multiple Mediators	5
Testing for Threshold Regulation in Presence of Measurement Error	4
BOLT-SSI: A Statistical Approach to Screening Interaction Effects for Ultra-High Dimensional Data	4
Model Checking in Large-Scale Dataset via Structure-Adaptive-Sampling	4
A Kernel Independence Test Using Projection-Based Measure in High-Dimension	4
Distributed Sufficient Dimension Reduction for Heterogeneous Massive Data	4
A New Preferential Model With Homophily for Recommender Systems	4

Response to Discussions of "Causal and Counterfactual Views of Missing Data Models"	4
Kernel Regression Utilizing External Information as Constraints	4
Frequentist Model Averaging for the Nonparametric Additive Model	4
Necessary and Sufficient Conditions for Multiple Objective Optimal Regression Designs	4
Homogeneity Tests for High-dimensional Mean Vectors and Covariance Matrices	4
Identification and Estimation of Treatment Effects on Long-Term Outcomes in Clinical Trials With External Observational Data	4
Resampling Method for Generalized One-per-Stratum Sampling Designs	4
A Minimum Discrepancy Approach With Fourier Transform in Sufficient Dimension Reduction	3
Minimax Nonparametric Multi-sample Test under Smoothing	3
Large-Scale Inference of Multivariate Regression for Heavy-Tailed and Asymmetric Data	3
DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction	3
A Systematic View of Information-Based Optimal Subdata Selection: Algorithm Development, Performance Evaluation, and Application in Financial Data	3
Estimation and Inference for Dynamic Single-Index Varying-Coefficient Models	3
Sparse Sliced Inverse Regression via Cholesky Matrix Penalization	3
Locally D-Optimal Designs for Hierarchical Response Experiments	3
Nearly Optimal Two-step Poisson Sampling and Empirical Likelihood Weighting Estimation for M-estimation with Big Data	3
An Adaptive Weighted Component Test for High-Dimensional Means	3
Principal Sub-manifolds	3
Causal and Counterfactual Views of Missing Data Models	3
Inference for Structural Breaks in Spatial Models	3
Moving Sum Data Segmentation for Stochastic Processes Based on Invariance	3
Weighted Nonlinear Regression With Nonstationary Time Series	3
A Spectral-Based Framework for Hypothesis Testing in Populations of Networks	3
Towards Optimal Use of Surrogate Markers to Improve Power	3
Parametric Modal Regression with Autocorrelated Error Process	3
Modeling Nonstationary and Asymmetric Multivariate Spatial Covariances via Deformations	3
Learning Non-monotone Optimal Individualized Treatment Regimes	3
Robust Recovery of the Central Subspace for Regression Using the Influence Function of the Rényi Divergence	3
An Unbiased Predictor for Skewed Response Variable with Measurement Error in Covariate	3
A Clustered Gaussian Process Model for Computer Experiments	3
The Identifiability of Copula Models for Dependent Competing Risks Data With Exponentially Distributed Margins	2
A Comparison of Estimators of Mean and Its Functions in Finite Populations	2
Testing for Variance Changes under Varying Mean and Serial Correlation	2
KOO Approach for Scalable Variable Selection Problem in Large-dimensional Regression	2
Ensemble Subset Regression (ENSURE): Efficient High-dimensional Prediction	2
Bootstrap Adjustment to Minimum p-Value Method for Predictive Classification	2
Intrinsic Minimum Average Variance Estimation for Dimension Reduction with Symmetric Positive Definite Matrices and Beyond	2
Detect Complete Dependence via Trace Correlation in the Presence of Matrix-Valued Random Objects	2
Two-Sample Tests for Relevant Differences in the Eigenfunctions of Covariance Operators	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
Compound Sequential Change-point Detection in Parallel Data Streams	2
Generalized Functional Feature Regression Models	2
Optimal Model Averaging for Single-Index Models With Divergent Dimensions	2
Interval Estimation for Operating Characteristic Of Continuous Biomarkers With Controlled Sensitivity or Specificity	2
Assessing Statistical Disclosure Risk for Differentially Private, Hierarchical Count Data, With Application to the 2020 U. S. Decennial Census	2
An Iterated Block Particle Filter for Inference on Coupled Dynamic Systems With Shared and Unit-Specific Parameters	2
Sparse and Low-Rank Matrix Quantile Estimation With Application to Quadratic Regression	2
Sufficient Variable Screening for Ultrahigh-Dimensional Right Censored Data via Independence Measures	2

Multivariate Calibrations with Auxiliary Information	2
A Bayesian Subset Specific Approach to Joint Selection of Multiple Graphical Models	2
Robust Optimization and Inference on Manifolds	2
Nonparametric Maximum Likelihood Estimation Under a Likelihood Ratio Order	2
A Stratified Penalized Kernel Method for Semiparametric Variable Labeling and Estimation of Multi-Output Time-Varying Coefficient Models for Nonstationary Time Series	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
On Rate Optimal Private Regression Under Local Differential Privacy	2
Structured Ultrahigh Dimensional Multiple-Index Models with Efficient Estimation in Computation And Theory	2
Discussion of "Causal and Counterfactual Views of Missing Data Models'' by Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, James Robins	2
A Functional Coefficients Network Autoregressive Model	2
Change-Point Tests for the Tail Parameter of Long Memory Stochastic Volatility Time Series	2
Community Extraction of Network Data under Stochastic Block Models	2
Sieve Estimation of a Class of Partially Linear Transformation Models With Interval-Censored Competing Risks Data	2
Differentiable Particle Filters with Smoothly Jittered Resampling	2
Identifying Latent Groups in Spatial Panel Data Using a Markov Random Field Constrained Product Partition Model	2
Testing for High-Dimensional White Noise	2
Sparse and Debiased Adaptive Huber Regression in Distributed Data: Aggregated and Communication-Efficient Approaches	2
Simultaneous Inference for the Distribution of Functional Principal Component Scores	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
Invariance Principle and Clt for the Spiked Eigenvalues of Large-dimensional Fisher Matrices and Applications	2
Mutual Influence Regression Model	1
Distributed Sparse Composite Quantile Regression in Ultrahigh Dimensions	1
Semiparametric Causal Mediation Analysis with Unmeasured Mediator-Outcome Confounding	1
Detecting Abrupt Changes in High-Dimensional Self-Exciting Poisson Processes	1
Minimum Aberration Factorial Designs Under A Mixed Parametrization	1
Heavy-Tailed Distribution for Combining Dependent P-Values With Asymptotic Robustness	1
One-Step Regularized Estimator for High-Dimensional Regression Models	1
A Unified Framework for Change Point Detection in High-Dimensional Linear Models	1
Collective Anomaly Detection in High-Dimensional Var Models	1
ON THE CONSISTENCY OF THE LEAST SQUARES ESTIMATOR IN MODELS SAMPLED AT RANDOM TIMES DRIVEN BY LONG MEMORY NOISE: THE RENEWAL CASE	1
Statistical Analysis of Quantum Annealing	1
Arc-Sin Transformation for Binomial Sample Proportions in Small Area Estimation	1
Slicing-free Inverse Regression in High-dimensional Sufficient Dimension Reduction	1
A Continuous-Time Stochastic Process for High-Resolution Network Data in Sports	1
Mean Dimension Reduction And Testing For Nonparametric Tensor Response Regression	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
Parsimonious Tensor Discriminant Analysis	1
Optimally Monitoring a Network of Sewage Manholes in Infectious Disease Surveillance	1
Prior Knowledge Guided Ultra-High Dimensional Variable Screening With Application to Neuroimaging Data	1
Statistical Inference for Mean Function of Longitudinal Imaging Data over Complicated Domains	1
A More Efficient Isomorphism Check for Two-Level Nonregular Designs	1
Asymptotic Optimality of Cp-Type Criteria in High-Dimensional Multivariate Linear Regression Models	1
Receiver Operating Characteristic Curve for Complex Survey Data	1
A Unified Framework for Tuning Hyperparameters in Clustering Problems	1
One Step to Efficient Synthetic Data	1
Constrained D-optimal Design for Paid Research Study	1
Identifiability of Hierarchical Latent Attribute Models	1
Designs for Order-of-Addition Screening Experiments	1
Transfer Learning for High-Dimensional Quantile Regression via Convolution Smoothing	1
Estimation of A Distribution with A Bias and Its Applications to Competing Risks	1
On Construction of Nonregular Two-Level Factorial Designs With Maximum Generalized Resolutions	1
Modeling Spiky Functional Data With Derivatives of Smooth Functions in Function-on-Function Regression	1
Regression with Set-Valued Categorical Predictors	1
The Tucker Low-Rank Classification Model for Tensor Data	1
State Space Emulation and Annealed Sequential Monte Carlo for High Dimensional Optimization	1
Distributed Mean Dimension Reduction Through Semi-parametric Approaches	1
Global Group Testing and Screening with Dynamic Effects	1
Model Selection of Generalized Estimating Equation With Divergent Model Size	1
Penalized Jackknife Empirical Likelihood in High Dimensions	1
Nonparametric Bayesian Two-Level Clustering for Subject-Level Single-Cell Expression Data	1
Bias, Consistency, and Alternative Perspectives of the Infinitesimal Jackknife	1
Robust Feature Screening via Distance Correlation for Ultrahigh Dimensional Data With Responses Missing at Random	1
Adjusting for Non-confounding Covariates in Case-control Association Studies	1
A Mixture Generalized Estimating Equations Approach for Complex Spatially-Dependent Data	1
Test for Zero Mean of Errors In An ARMA-GGARCH Model After Using A Median Inference	1
Partially Linear Additive Functional Regression	1
Leverage Classifier: Another Look at Support Vector Machine	1
Semiparametric Estimation of Probabilistic Index Models: Efficiency and Bias	1
Power Boosting: Fusion of Multiple Test Statistics via Resampling	1
Semiparametric Estimation of Non-ignorable Missingness With Refreshment Sample	1
A Divide and Conquer Sequential Monte Carlo Approach to High Dimensional Filtering	1
Statistical Inference for High Dimensional Regression with Proxy Data	1
Extreme-value Test for Structural Breaks in Spatial Trends	1
On Combining Individual-Level Data With Summary Data in Statistical Inferences	1
De-biasing Particle Filtering for a Continuous Time Hidden Markov Model With a Cox Process Observation Model	1
The Importance of Being a Band: Finite-Sample Exact Distribution-Free Prediction Sets for Functional Data	1
On the Estimation of High-Dimensional Integrated Covariance Matrix Based on High-Frequency Data With Multiple Transactions	1

Shape Constrained Kernel PDF and PMF Estimation	1
Scaled Partial Envelope Model in Multivariate Linear Regression	1
Detecting Multiple Change Points: The PULSE Criterion	1
Two Kernel-based Feature Screening Procedures for High-dimensional Response Data	1
A Community Hawkes Model for Continuous-time Networks with Interaction Heterogeneity	1
Identifiability and Estimation of Causal Effects with Non-Gaussianity and Auxiliary Covariates	1
Confidence Surfaces for the Mean of Locally Stationary Functional Time Series	1
Functional-Input Gaussian Processes with Applications to Inverse Scattering Problems	1
Distributed Empirical Likelihood Approach to Integrating Unbalanced Datasets	1
Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models	1
Functional Response Quantile Regression Model	1
A Pseudo-likelihood Approach to Community Detection in Weighted Networks	1
Multi-response Regression for Block-missing Multi-modal Data without Imputation	1
Integrating Incomplete Data for Mediation Analysis	1
Doubly Coupled Designs for Computer Experiments With Both Qualitative and Quantitative Factors	1
Asymptotic Analysis of Mis-Classified Linear Mixed Models	1
Enhanced Structural Break Detection in Functional Means	1
Testing Exogeneity in the Functional Linear Regression Model	1
Nonparametric Tests of Independence for Circular Data Based on Trigonometric Moments	1
Inferring Social Influence in Dynamic Networks	1
Statistical Inference for Multivariate Functional Panel Data	1
A Locally Adaptive Shrinkage Approach to False Selection Rate Control in High-Dimensional Classification	1
Regulation-Incorporated Gene Expression Network-Based Heterogeneity Analysis	1
Functional Two-Sample Test Based on Projection	1
Orthogonal Symmetric Non-Negative Matrix Factorization Under the Stochastic Block Model	1
Semiparametric Reversed Mean Model for Recurrent Event Process with Informative Terminal Event	1
Simultaneous Change Point Detection and Identification for High Dimensional Linear Models	1
Simplex-based Multinomial Logistic Regression with Diverging Numbers of Categories and Covariates	1
Inference for Projection-Based Wasserstein Distances on Finite Spaces	1
Spatiotemporal Autoregressive Partially Linear Varying Coefficient Models	1
Frequent-voting Independence Screening for Data of Different Types or Different Dimensions	1
Asymptotic Behaviour of the Modified Likelihood Root	1
Cointegration Rank Estimation for High-Dimensional Time Series With Breaks	1
A Regularized Low Tubal-Rank Model for High-dimensional Time Series Data	1
Robust Recommendation via Social Network Enhanced Matrix Completion	1
A Construction Method for Maximin L1-Distance Latin Hypercube Designs	1
Volatility Analysis with High-frequency and Low-frequency Historical Data, and Options-Implied Information	1
Bayesian Optimization with Pareto-Principled Training for Economical Hyperparameter Optimization	1
Perfect Spectral Clustering with Discrete Covariates	1
Joint Mean-angle Model for Spatial Binary Data	1
Discussion on "Causal and Counterfactual Views of Missing Data Models"	1