Statistica Sinica

Papers
(The TQCC of Statistica Sinica is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-08-01 to 2025-08-01.)
ArticleCitations
Spectral distribution of the sample covariance of high-dimensional time series with unit roots9
An Equation for the Identification of Average Causal Effect in Nonlinear Models8
Lévy Adaptive B-spline Regression via Overcomplete Systems7
Eigenvalue Distribution of a High-Dimensional Distance Covariance Matrix With Application6
Relationship between orthogonal and baseline parameterizations and its applications to design constructions6
Deep Learning for Marginal Bayesian Posterior Inference with Recurrent Neural Networks6
Hypothesis Testing in High-Dimensional Instrumental Variables Regression With an Application to Genomics Data6
Principal Components Analysis for Right Censored Data6
Projection-based Inference for High-dimensional Linear Models6
Adaptive Tests for Bandedness of High-dimensional Covariance Matrices5
High-Dimensional Alpha Test of the Linear Factor Pricing Models With Heavy-Tailed Distributions5
Estimation for Extreme Conditional Quantiles of Functional Quantile Regression5
Statistical Inference for Heavy-tailed and Partially Nonstationary Vector ARMA Models5
Power Laws Distributions in Objective Priors5
A Note on Information Bias and Efficiency of Composite Likelihood4
Identification of Partial-Differential-Equations-Based Models from Noisy Data with Splines4
Frequentist Model Averaging for the Nonparametric Additive Model4
Threshold Estimation in Proportional Mean Residual Life Model4
Hypothesis Testing for Block-structured Correlation for High Dimensional Variables4
BOLT-SSI: A Statistical Approach to Screening Interaction Effects for Ultra-High Dimensional Data4
Directional Tests in Gaussian Graphical Models4
Regression Analysis of Panel Count Data With Both Time-Dependent Covariates and Time-Varying Effects4
A Simultaneous Likelihood Test for Joint Mediation Effects of Multiple Mediators4
Covariance-engaged Classification of Sets via Linear Programming3
Distributed Sufficient Dimension Reduction for Heterogeneous Massive Data3
Homogeneity Tests for High-dimensional Mean Vectors and Covariance Matrices3
A Kernel Independence Test Using Projection-Based Measure in High-Dimension3
A New Preferential Model With Homophily for Recommender Systems3
DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction3
Parametric Modal Regression with Autocorrelated Error Process3
Large-Scale Inference of Multivariate Regression for Heavy-Tailed and Asymmetric Data3
Bayesian Estimation of Gaussian Conditional Random Fields3
Kernel Regression Utilizing External Information as Constraints3
Testing for Threshold Regulation in Presence of Measurement Error3
Necessary and Sufficient Conditions for Multiple Objective Optimal Regression Designs3
Inference for Structural Breaks in Spatial Models3
A Permutation Test for Two-Sample Means and Signal Identification of High-dimensional Data3
Model Checking in Large-Scale Dataset via Structure-Adaptive-Sampling3
Identification and Estimation of Treatment Effects on Long-Term Outcomes in Clinical Trials With External Observational Data3
A spline-based nonparametric analysis for interval-censored bivariate survival data3
An Adaptive Weighted Component Test for High-Dimensional Means3
A CLASS OF MULTILEVEL NONREGULAR DESIGNS FOR STUDYING QUANTITATIVE FACTORS2
Moving Sum Data Segmentation for Stochastic Processes Based on Invariance2
Differentiable Particle Filters with Smoothly Jittered Resampling2
A Comparison of Estimators of Mean and Its Functions in Finite Populations2
An Iterated Block Particle Filter for Inference on Coupled Dynamic Systems With Shared and Unit-Specific Parameters2
A Spectral-Based Framework for Hypothesis Testing in Populations of Networks2
Interval Estimation for Operating Characteristic Of Continuous Biomarkers With Controlled Sensitivity or Specificity2
Sparse Composite Quantile Regression with Ultra-high Dimensional Heterogeneous Data2
Identifying Latent Groups in Spatial Panel Data Using a Markov Random Field Constrained Product Partition Model2
Assessing Statistical Disclosure Risk for Differentially Private, Hierarchical Count Data, With Application to the 2020 U. S. Decennial Census2
Sparse Sliced Inverse Regression via Cholesky Matrix Penalization2
A Systematic View of Information-Based Optimal Subdata Selection: Algorithm Development, Performance Evaluation, and Application in Financial Data2
Change-Point Tests for the Tail Parameter of Long Memory Stochastic Volatility Time Series2
On Rate Optimal Private Regression Under Local Differential Privacy2
Cross Projection Test for High-Dimension Mean Vectors2
Partially-Global Fréchet Regression2
Sieve Estimation of a Class of Partially Linear Transformation Models With Interval-Censored Competing Risks Data2
Sparse and Low-Rank Matrix Quantile Estimation With Application to Quadratic Regression2
Feature-Weighted Elastic Net: Using "Features of Features" for Better Prediction2
The Identifiability of Copula Models for Dependent Competing Risks Data With Exponentially Distributed Margins2
Copula-Based Functional Bayes Classification With Principal Components and Partial Least Squares2
A Clustered Gaussian Process Model for Computer Experiments2
Multiple Improvements of Multiple Imputation Likelihood Ratio Tests2
Minimax Nonparametric Multi-sample Test under Smoothing2
Infinite Arms Bandit: Optimality via Confidence Bounds2
Efficient Estimation for Dimension Reduction with Censored Survival Data2
Locally D-Optimal Designs for Hierarchical Response Experiments2
Modeling Nonstationary and Asymmetric Multivariate Spatial Covariances via Deformations2
Learning Non-monotone Optimal Individualized Treatment Regimes2
Weighted Nonlinear Regression With Nonstationary Time Series2
Ensemble Subset Regression (ENSURE): Efficient High-dimensional Prediction2
Optimal Model Averaging for Single-Index Models With Divergent Dimensions2
Sparse and Debiased Adaptive Huber Regression in Distributed Data: Aggregated and Communication-Efficient Approaches2
Estimation and Inference for Dynamic Single-Index Varying-Coefficient Models2
Robust Recovery of the Central Subspace for Regression Using the Influence Function of the Rényi Divergence2
Multivariate Calibrations with Auxiliary Information2
On Stratified Density Ratio Models2
Compound Sequential Change-point Detection in Parallel Data Streams2
An Unbiased Predictor for Skewed Response Variable with Measurement Error in Covariate2
Community Extraction of Network Data under Stochastic Block Models2
Bootstrap Adjustment to Minimum p-Value Method for Predictive Classification2
STATISTICAL INFERENCE IN QUANTILE REGRESSION FOR ZERO-INFLATED OUTCOMES2
A Bayesian Subset Specific Approach to Joint Selection of Multiple Graphical Models2
FULL-SEMIPARAMETRIC-LIKELIHOOD-BASED INFERENCE FOR NON-IGNORABLE MISSING DATA2
A Minimum Discrepancy Approach With Fourier Transform in Sufficient Dimension Reduction2
Towards Optimal Use of Surrogate Markers to Improve Power2
Structured Ultrahigh Dimensional Multiple-Index Models with Efficient Estimation in Computation And Theory2
A Unified Approach to Focused Information Criterion and Plug-In Averaging Method2
Testing Hypotheses of Covariate-Adaptive Randomized Clinical Trials with Time-to-event Outcomes under the AFT Model2
Penalized Jackknife Empirical Likelihood in High Dimensions1
Efficient estimation and computation in generalized varying coefficient models with unknown link and variance functions for large-scale data1
De-biasing Particle Filtering for a Continuous Time Hidden Markov Model With a Cox Process Observation Model1
Cointegration Rank Estimation for High-Dimensional Time Series With Breaks1
Power Boosting: Fusion of Multiple Test Statistics via Resampling1
Two-Sample Tests for Relevant Differences in the Eigenfunctions of Covariance Operators1
On Construction of Nonregular Two-Level Factorial Designs With Maximum Generalized Resolutions1
A Unified Framework for Tuning Hyperparameters in Clustering Problems1
A Functional Information Criterion for Region Selection in Functional Linear Models1
Modeling Spiky Functional Data With Derivatives of Smooth Functions in Function-on-Function Regression1
Semiparametric Causal Mediation Analysis with Unmeasured Mediator-Outcome Confounding1
Adjusting systematic bias in high dimensional principal component scores1
On Combining Individual-Level Data With Summary Data in Statistical Inferences1
Nonparametric Bayesian Two-Level Clustering for Subject-Level Single-Cell Expression Data1
Transfer Learning for High-Dimensional Quantile Regression via Convolution Smoothing1
A Divide and Conquer Sequential Monte Carlo Approach to High Dimensional Filtering1
Test for Zero Mean of Errors In An ARMA-GGARCH Model After Using A Median Inference1
Heavy-Tailed Distribution for Combining Dependent P-Values With Asymptotic Robustness1
Statistical Inference for Mean Function of Longitudinal Imaging Data over Complicated Domains1
SEAMLESS PHASE II/III CLINICAL TRIALS WITH COVARIATE ADAPTIVE RANDOMIZATION1
Arc-Sin Transformation for Binomial Sample Proportions in Small Area Estimation1
Order Determination for Spiked Type Models1
A Locally Adaptive Shrinkage Approach to False Selection Rate Control in High-Dimensional Classification1
Constrained D-optimal Design for Paid Research Study1
On the Estimation of High-Dimensional Integrated Covariance Matrix Based on High-Frequency Data With Multiple Transactions1
Slicing-free Inverse Regression in High-dimensional Sufficient Dimension Reduction1
On Estimation of the Logarithm of the Mean Squared Prediction Error of A Mixed-effect Predictor1
One Step to Efficient Synthetic Data1
Distributed Sparse Composite Quantile Regression in Ultrahigh Dimensions1
Optimally Monitoring a Network of Sewage Manholes in Infectious Disease Surveillance1
A Stratified Penalized Kernel Method for Semiparametric Variable Labeling and Estimation of Multi-Output Time-Varying Coefficient Models for Nonstationary Time Series1
Extreme-value Test for Structural Breaks in Spatial Trends1
Robust Feature Screening via Distance Correlation for Ultrahigh Dimensional Data With Responses Missing at Random1
A Construction Method for Maximin L1-Distance Latin Hypercube Designs1
Robust Optimization and Inference on Manifolds1
Identifiability of Hierarchical Latent Attribute Models1
ON THE CONSISTENCY OF THE LEAST SQUARES ESTIMATOR IN MODELS SAMPLED AT RANDOM TIMES DRIVEN BY LONG MEMORY NOISE: THE RENEWAL CASE1
Enhanced Structural Break Detection in Functional Means1
Efficient Diagnostics for Parametric Regression Models with Distortion Measurement Errors Incorporating Dimension-reduction1
Graph-based two-sample tests for data with repeated observations1
Distributed Mean Dimension Reduction Through Semi-parametric Approaches1
Inference for Projection-Based Wasserstein Distances on Finite Spaces1
A stable and more efficient doubly robust estimator1
Spatiotemporal Autoregressive Partially Linear Varying Coefficient Models1
Robust smoothed canonical correlation analysis for functional data1
Simplex-based Multinomial Logistic Regression with Diverging Numbers of Categories and Covariates1
Distributed Empirical Likelihood Approach to Integrating Unbalanced Datasets1
Estimation of Simultaneous Signals Using Absolute Inner Product with Applications to Integrative Genomics1
One-Step Regularized Estimator for High-Dimensional Regression Models1
Robust Recommendation via Social Network Enhanced Matrix Completion1
The Importance of Being a Band: Finite-Sample Exact Distribution-Free Prediction Sets for Functional Data1
Detecting Abrupt Changes in High-Dimensional Self-Exciting Poisson Processes1
Designs for Order-of-Addition Screening Experiments1
Statistical Analysis of Quantum Annealing1
Consistency of survival tree and forest models: splitting bias and correction1
Asymptotic Analysis of Mis-Classified Linear Mixed Models1
Elastic-net Regularized High-dimensional Negative Binomial Regression: Consistency and Weak Signal Detection1
Model Selection of Generalized Estimating Equation With Divergent Model Size1
Prior Knowledge Guided Ultra-High Dimensional Variable Screening With Application to Neuroimaging Data1
Semiparametric Estimation of Probabilistic Index Models: Efficiency and Bias1
Nonparametric Maximum Likelihood Estimation Under a Likelihood Ratio Order1
Semiparametric Reversed Mean Model for Recurrent Event Process with Informative Terminal Event1
Dimension reduction via adaptive slicing1
Dynamic Penalized Splines for Streaming Data1
Extreme Quantile Estimation Based on the Tail Single-index Model1
Collective Anomaly Detection in High-Dimensional Var Models1
Doubly Coupled Designs for Computer Experiments With Both Qualitative and Quantitative Factors1
A Zero-imputation Approach in Recommendation Systems with Data Missing Heterogeneously1
Asymptotic Optimality of Cp-Type Criteria in High-Dimensional Multivariate Linear Regression Models1
Nonparametric Tests of Independence for Circular Data Based on Trigonometric Moments1
Sample Empirical Likelihood and the Design-based Oracle Variable Selection Theory1
Causal Inference from Possibly Unbalanced Split-Plot Designs: A Randomization-based Perspective1
Shape Constrained Kernel PDF and PMF Estimation1
A Position-Based Approach for Design and Analysis of Order-of-Addition Experiments1
Functional-Input Gaussian Processes with Applications to Inverse Scattering Problems1
Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models1
Regression with Set-Valued Categorical Predictors1
Asymptotic Behaviour of the Modified Likelihood Root1
The Tucker Low-Rank Classification Model for Tensor Data1
A Unified Framework for Change Point Detection in High-Dimensional Linear Models1
Integrating Incomplete Data for Mediation Analysis1
Mode-Based Classifier: A Robust and Flexible Discriminant Analysis for High-Dimensional Data1
Perfect Spectral Clustering with Discrete Covariates1
Partially Linear Additive Functional Regression1
State Space Emulation and Annealed Sequential Monte Carlo for High Dimensional Optimization1
Scaled Partial Envelope Model in Multivariate Linear Regression1
Functional Response Quantile Regression Model1
High-dimensional Varying Index Coefficient Quantile Regression Model1
Parsimonious Tensor Discriminant Analysis1
Inferring Social Influence in Dynamic Networks1
Leverage Classifier: Another Look at Support Vector Machine1
A More Efficient Isomorphism Check for Two-Level Nonregular Designs1
A Continuous-Time Stochastic Process for High-Resolution Network Data in Sports1
Semiparametric Estimation of Non-ignorable Missingness With Refreshment Sample1
Orthogonal Symmetric Non-Negative Matrix Factorization Under the Stochastic Block Model1
Detecting Multiple Change Points: The PULSE Criterion1
A METHOD OF LOCAL INFLUENCE ANALYSIS IN SUFFICIENT DIMENSION REDUCTION1
A Review on Sliced Inverse Regression, Sufficient Dimension Reduction, and Applications1
Time series models for realized covariance matrices based on the matrix-F distribution1
Construction of strong group-orthogonal arrays1
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