Statistica Sinica

Article	Citations
Projection-based Inference for High-dimensional Linear Models	6
Hypothesis Testing in High-Dimensional Instrumental Variables Regression With an Application to Genomics Data	6
Improved Regression Inference Using a Second Overlapping Regression Model	5
Power Laws Distributions in Objective Priors	5
Sliced Inverse Regression in Metric Spaces	5
Semiparametric Estimation of Probabilistic Index Models: Efficiency and Bias	4
Rank Based Tests for High Dimensional White Noise	4
Parametric Bootstrap Inference for Stratified Models With High-Dimensional Nuisance Specifications	4
Deep Learning for Marginal Bayesian Posterior Inference with Recurrent Neural Networks	4
Empirical Likelihood Inference of Variance Components in Linear Mixed-Effects Models	4
Inferring Social Influence in Dynamic Networks	4
Regression Analysis of Panel Count Data With Both Time-Dependent Covariates and Time-Varying Effects	4
A Universal Test on Spikes in a High-Dimensional Generalized Spiked Model and Its Applications	3
Statistical Inference With Anchored Bayesian Mixture of Regressions Models: An Illustrative Study of Allometric Data	3
Spectral distribution of the sample covariance of high-dimensional time series with unit roots	3
Estimation for Extreme Conditional Quantiles of Functional Quantile Regression	3
Principal Components Analysis for Right Censored Data	3
Adaptive Tests for Bandedness of High-dimensional Covariance Matrices	3
Weighted Rank Estimation for Random-Effects Monotonic Index Models With Panel Count Data	3
Nonparametric covariance estimation for mixed longitudinal studies, with applications in midlife women's health	3
A New Model-Free Feature Screening Procedure for Ultrahigh-Dimensional Interval-Censored Failure Time Data	3
Score Tests With Incomplete Covariates and High-Dimensional Auxiliary Variables	3
An Equation for the Identification of Average Causal Effect in Nonlinear Models	3
Partially Functional Linear Quantile Regression With Measurement Errors	3
Infinite Arms Bandit: Optimality via Confidence Bounds	3

A CLASS OF MULTILEVEL NONREGULAR DESIGNS FOR STUDYING QUANTITATIVE FACTORS	2
Unbiased Boosting Estimation for Censored Survival Data	2
An Iterated Block Particle Filter for Inference on Coupled Dynamic Systems With Shared and Unit-Specific Parameters	2
Statistical Inference for Functional Time Series	2
Gaussian Mixture Models with Concave Penalized Fusion	2
Power Enhancement for Dimension Detection of Gaussian Signals	2
Feature-Weighted Elastic Net: Using "Features of Features" for Better Prediction	2
Weak Signal Identification and Inference in Penalized Likelihood Models for Categorical Responses	2
Eigenvalue Distribution of a High-Dimensional Distance Covariance Matrix With Application	2
Sharp Bounds for Variance of Treatment Effect Estimators in the Presence of Covariates	2
Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference	2
Regularized Adaptive Huber Matrix Regression and Distributed Learning	2
CLT For U-statistics With Growing Dimension	2
Identification of Partial-Differential-Equations-Based Models from Noisy Data with Splines	2
Particle-based, Rapid Incremental Smoother Meets Particle Gibbs	2
A Note on Information Bias and Efficiency of Composite Likelihood	2
A Locally Adaptive Shrinkage Approach to False Selection Rate Control in High-Dimensional Classification	2
A Zero-imputation Approach in Recommendation Systems with Data Missing Heterogeneously	2
Adaptive Change Point Monitoring for High-Dimensional Data	2
Multivariate Calibrations with Auxiliary Information	2
Selection of Proposal Distributions for Multiple Importance Sampling	2
Communication-Efficient Distributed Linear Discriminant Analysis for Binary Classification	2
Dynamic Penalized Splines for Streaming Data	2
Statistical Inference for Heavy-tailed and Partially Nonstationary Vector ARMA Models	2
Moment Deviation Subspaces of Dimension Reduction for High-Dimensional Data With Change Structure	2
Differentiable Particle Filters with Smoothly Jittered Resampling	2
Test for Zero Mean of Errors In An ARMA-GGARCH Model After Using A Median Inference	2
Threshold Estimation in Proportional Mean Residual Life Model	2
On P-Value Combination of Independent and Non-sparse Signals: Asymptotic Efficiency and Fisher Ensemble	2
Pseudo-Bayesian Approach for Quantile Regression Inference: Adaptation to Sparsity	2
An Approximate Bayesian Approach to Model-assisted Survey Estimation with Many Auxiliary Variables	2
Relationship between orthogonal and baseline parameterizations and its applications to design constructions	2
Asymptotic Behavior of the Maximum Likelihood Estimator for General Markov Switching Models	2
Measures of Uncertainty for Shrinkage Model Selection	2
High-Dimensional Alpha Test of the Linear Factor Pricing Models With Heavy-Tailed Distributions	2
Transfer Learning for High-Dimensional Quantile Regression via Convolution Smoothing	1
A Note on Endogeneity Resolution in Regression Models for Comparative Studies	1
Identification and Estimation of Treatment Effects on Long-Term Outcomes in Clinical Trials With External Observational Data	1
BOLT-SSI: A Statistical Approach to Screening Interaction Effects for Ultra-High Dimensional Data	1
Empirical Priors and Posterior Concentration in a Piecewise Polynomial Sequence Model	1
Automatic Sparse PCA for High-Dimensional Data	1
Frequentist Model Averaging for the Nonparametric Additive Model	1
Slicing-free Inverse Regression in High-dimensional Sufficient Dimension Reduction	1
Nonparametric Interaction Selection	1
Efficient Estimation for Dimension Reduction with Censored Survival Data	1
Bayesian Estimation of Gaussian Conditional Random Fields	1
Kernel Regression Utilizing External Information as Constraints	1
Mechanisms for Global Differential Privacy under Bayesian Data Synthesis	1
Copula-Based Functional Bayes Classification With Principal Components and Partial Least Squares	1
A Unified Approach to Focused Information Criterion and Plug-In Averaging Method	1

On Estimation of the Logarithm of the Mean Squared Prediction Error of A Mixed-effect Predictor	1
Testing and Modelling for the Structural Change in Covariance Matrix Time Series With Multiplicative Form	1
A More Efficient Isomorphism Check for Two-Level Nonregular Designs	1
Modeling and Predicting Spatio-Temporal Dynamics of PM$_{2.5}$ Concentrations Through Time-Evolving Covariance Models	1
A Kernel Independence Test Using Projection-Based Measure in High-Dimension	1
CLT for High-Dimensional R2 Statistics Under a General Independent Components Model	1
A Construction Method for Maximin L1-Distance Latin Hypercube Designs	1
Poisson Kernel-Based Tests for Uniformity on the d-Dimensional Sphere	1
Distributed Sufficient Dimension Reduction for Heterogeneous Massive Data	1
Data Integration in High Dimension With Multiple Quantiles	1
Balanced Donor Imputation Handling Swiss Cheese Nonresponse	1
Oracally Efficient Global Inference for Variance Function in Nonparametric Regression With Missing Covariates	1
Identifying Latent Groups in Spatial Panel Data Using a Markov Random Field Constrained Product Partition Model	1
Synthesis of Order-of-Addition Models	1
Compound Sequential Change-point Detection in Parallel Data Streams	1
Efficient Estimation and Inference for the Signed β-Model in Directed Signed Networks	1
Scaled Partial Envelope Model in Multivariate Linear Regression	1
Propensity Score Weighting Analysis of Survival Outcomes Using Pseudo-Observations	1
Sparse and Debiased Adaptive Huber Regression in Distributed Data: Aggregated and Communication-Efficient Approaches	1
Testing Hypotheses of Covariate-Adaptive Randomized Clinical Trials with Time-to-event Outcomes under the AFT Model	1
Bandwidth Selection for Large Covariance and Precision Matrices	1
Bayesian Inference on Multivariate Medians and Quantiles	1
Hypothesis Testing for Block-structured Correlation for High Dimensional Variables	1
Regression Analysis of Randomized Response Event Time Data	1
Hybrid Hard-Soft Screening for High-dimensional Latent Class Analysis	1
Cross Projection Test for High-Dimension Mean Vectors	1
Maximum Conditional Alpha Test for Conditional Multi-Factor Models	1
Testing for Zero Skill In Stock Picking or Market Timing	1
Time series models for realized covariance matrices based on the matrix-F distribution	1
Dynamic Copula-Based Nonparametric Estimation of Rank-Tracking Probabilities With Longitudinal Data	1
Regularized Estimation in High-Dimensional Vector Auto-Regressive Models Using Spatio-Temporal Information	1
Unified Tests for Nonparametric Functions in RKHS With Kernel Selection and Regularization	1
Fixed-Domain Asymptotics Under Vecchia's Approximation of Spatial Process Likelihoods	1
Hypotheses Testing of Functional Principal Components	1
A Homogeneous Likelihood Ratio Measure for Hidden Jump-sets in Generalized Spatial Regression	1
Efficient Learning of Nonparametric Directed Acyclic Graph With Statistical Guarantee	1
Orthogonal Symmetric Non-Negative Matrix Factorization Under the Stochastic Block Model	1
Homogeneity Tests for High-dimensional Mean Vectors and Covariance Matrices	1
Nonparametric Maximum Likelihood Estimation Under a Likelihood Ratio Order	1
Lévy Adaptive B-spline Regression via Overcomplete Systems	1
De-biasing Particle Filtering for a Continuous Time Hidden Markov Model With a Cox Process Observation Model	1
Robust Inference of Conditional Average Treatment Effects Using Dimension Reduction	1
Gaussian Process Prediction using Design-Based Subsampling	1
Model Checking in Large-Scale Dataset via Structure-Adaptive-Sampling	1
Semiparametric Maximum Likelihood Estimation With Two-Phase Stratified Case-Control Sampling	1
Interval Estimation for Operating Characteristic Of Continuous Biomarkers With Controlled Sensitivity or Specificity	1
A Sequential Probability Ratio Test for Sparse Gaussian Mixtures	1
Optimal Model Averaging for Single-Index Models With Divergent Dimensions	1
Likelihood-Based Dimension Folding on Tensor Data	1
Asymptotic Behaviour of the Modified Likelihood Root	1
Testing for Threshold Effects in the TARMA Framework	1
Directional Tests in Gaussian Graphical Models	1
High-dimensional Subgroup Regression Analysis	1
Penalized Regression for Multiple Types of Many Features With Missing Data	1
Semi-Standard Partial Covariance Variable Selection When Irrepresentable Conditions Fail	1
A Simultaneous Likelihood Test for Joint Mediation Effects of Multiple Mediators	1
Simplex-based Multinomial Logistic Regression with Diverging Numbers of Categories and Covariates	1
Robust Inference for Partially Observed Functional Response Data	1
Rates of Bootstrap Approximation for Eigenvalues in High-Dimensional PCA	1
Some first results on the consistency of spatial regression with partial differential equation regularization	1
Mallows Model Averaging Estimator for the MIDAS Model with Almon Polynomial Weight	1
Fast Construction of Optimal Composite Likelihoods	1
Locally Sparse Estimator of Generalized Varying Coefficient Model for Asynchronous Longitudinal Data	1
Large Sample Properties of Matching for Balance	1
A Simple Method for Estimating Gaussian Graphical Models	1
Scalable Community Detection in Massive Networks using Aggregated Relational Data	1
Partially-Global Fréchet Regression	1
Mean Tests For High-dimensional Time Series	1
Consistency of BIC Model Averaging	1
Power Analysis of Projection-Pursuit Independence Tests	1
A Permutation Test for Two-Sample Means and Signal Identification of High-dimensional Data	1
A Bayesian Subset Specific Approach to Joint Selection of Multiple Graphical Models	1
Robust Estimation of Covariance Matrices: Adversarial Contamination and Beyond	1
Optimally Monitoring a Network of Sewage Manholes in Infectious Disease Surveillance	1
One Step to Efficient Synthetic Data	1
Efficient estimation and computation in generalized varying coefficient models with unknown link and variance functions for large-scale data	0
The Importance of Being a Band: Finite-Sample Exact Distribution-Free Prediction Sets for Functional Data	0
Mutual Influence Regression Model	0
Optimal Sequential Tests for Monitoring Changes in the Distribution of Finite Observation Sequences	0
Causal Inference from Possibly Unbalanced Split-Plot Designs: A Randomization-based Perspective	0

Model-Assisted Inference for Covariate-Specific Treatment Effects with High-dimensional Data	0
Empirical Likelihood Ratio Tests for Varying Coefficient Geo Models	0
Sparse Functional Principal Component Analysis in High Dimensions	0
Asymptotic Independence of the Sum and Maximum of Dependent Random Variables with Applications to High-dimensional Tests	0
Arc-Sin Transformation for Binomial Sample Proportions in Small Area Estimation	0
Sieve Estimation of a Class of Partially Linear Transformation Models With Interval-Censored Competing Risks Data	0
Distributed Logistic Regression for Massive Data with Rare Events	0
Use of Random Integration to Test Equality of High Dimensional Covariance Matrices	0
On Rate Optimal Private Regression Under Local Differential Privacy	0
Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models	0
Estimating Boltzmann Averages for Protein Structural Quantities Using Sequential Monte Carlo	0
Sparse Composite Quantile Regression with Ultra-high Dimensional Heterogeneous Data	0
A Bernstein-type Inequality for High Dimensional Linear Processes with Applications to Robust Estimation of Time Series Regressions	0
A Bayesian Framework for Sparse Estimation in High-Dimensional Mixed Frequency Vector Autoregressive Models	0
A Simple and Efficient Estimation of Average Treatment Effects in Models with Unmeasured Confounders	0
Penalized Jackknife Empirical Likelihood in High Dimensions	0
Correction: Derivative principal components for representing the time dynamics of longitudinal and functional data	0
Optimal Subsampling for Multinomial Logistic Models With Big Data	0
Perfect Spectral Clustering with Discrete Covariates	0
Multi-response Regression for Block-missing Multi-modal Data without Imputation	0
Maximum Lq-likelihood Estimation in Functional Measurement Error Models	0
Stable Combination Tests	0
Dimension reduction via adaptive slicing	0
Multiscale Tests for Point Processes and Longitudinal Networks	0
Joint Modeling of Change-Point Identification and Dependent Dynamic Community Detection	0
Robust Recovery of the Central Subspace for Regression Using the Influence Function of the Rényi Divergence	0
A UNIFIED FRAMEWORK FOR MINIMUM ABERRATION	0
An Integer Programming Algorithm for Constructing Maximin Distance Designs From Good Lattice Point Sets	0
Identifiability of Hierarchical Latent Attribute Models	0
Sparse and Low-Rank Matrix Quantile Estimation With Application to Quadratic Regression	0
Inference for Change Points in High Dimensional Mean Shift Models	0
FULL-SEMIPARAMETRIC-LIKELIHOOD-BASED INFERENCE FOR NON-IGNORABLE MISSING DATA	0
Reinforcement Learning via Nonparametric Smoothing in a Continuous-Time Stochastic Setting with Noisy Data	0
A Clustered Gaussian Process Model for Computer Experiments	0
Propensity Score Regression for Causal Inference With Treatment Heterogeneity	0
A Data Fusion Method for Quantile Treatment Effects	0
A Maximin Φp-Efficient Design for Multivariate Generalized Linear Models	0
Outlier Detection via a Minimum Ridge Covariance Determinant Estimator	0
Reference Priors for the Generalized Extreme Value Distribution	0
Ensemble Subset Regression (ENSURE): Efficient High-dimensional Prediction	0
A Unified Framework for Tuning Hyperparameters in Clustering Problems	0
Weighted Nonlinear Regression With Nonstationary Time Series	0
A Review on Sliced Inverse Regression, Sufficient Dimension Reduction, and Applications	0
Inference with Combining Rules from Multiple Differentially Private Synthetic Datasets	0
Bayesian Consistency with the Supremum Metric	0
CONDITIONAL MARGINAL TEST FOR HIGH DIMENSIONAL QUANTILE REGRESSION	0
Mendelian Randomization Test of Causal Effect Using High-Dimensional Summary Data	0
Long-memory Log-linear Zero-inflated Generalized Poisson Autoregression for Covid-19 Pandemic Modeling	0
Subsampling Based Community Detection for Large Networks	0
A proximal dual semismooth Newton method for zero-norm penalized quantile regression estimator	0
A Divide and Conquer Sequential Monte Carlo Approach to High Dimensional Filtering	0
Semiparametric Dose Finding Methods for Partially Ordered Drug Combinations	0
The Tucker Low-Rank Classification Model for Tensor Data	0
A new nonparametric extension of ANOVA via projection mean variance measure	0
A Spectral-Based Framework for Hypothesis Testing in Populations of Networks	0
Multiple Improvements of Multiple Imputation Likelihood Ratio Tests	0
Bootstrap Adjustment to Minimum p-Value Method for Predictive Classification	0
Robust Recommendation via Social Network Enhanced Matrix Completion	0
Heavy-Tailed Distribution for Combining Dependent P-Values With Asymptotic Robustness	0
Shape Constrained Kernel PDF and PMF Estimation	0
On Construction of Nonregular Two-Level Factorial Designs With Maximum Generalized Resolutions	0
On Semiparametric Instrumental Variable Estimation of Average Treatment Effects through Data Fusion	0
Robust Feature Screening via Distance Correlation for Ultrahigh Dimensional Data With Responses Missing at Random	0
High-Dimensional Factor Regression for Heterogeneous Subpopulations	0
Community Extraction of Network Data under Stochastic Block Models	0
Sparse Sliced Inverse Regression via Cholesky Matrix Penalization	0
Grouped Network Poisson Autoregressive Model	0
The Identifiability of Copula Models for Dependent Competing Risks Data With Exponentially Distributed Margins	0
Maximum Likelihood Estimation for Cox Proportional Hazards Model with a Change Hyperplane	0
Designs for Order-of-Addition Screening Experiments	0
Elastic-net Regularized High-dimensional Negative Binomial Regression: Consistency and Weak Signal Detection	0
Efficient Diagnostics for Parametric Regression Models with Distortion Measurement Errors Incorporating Dimension-reduction	0
Functional-Input Gaussian Processes with Applications to Inverse Scattering Problems	0
Statistical Inference for High-Dimensional Vector Autoregression with Measurement Error	0
A Continuous-Time Stochastic Process for High-Resolution Network Data in Sports	0
Statistical Inference for Mean Function of Longitudinal Imaging Data over Complicated Domains	0
On the Efficiency of Composite Likelihood Estimation for Gaussian Spatial Processes	0
Poisson Regression With Error Corrupted High Dimensional Features	0
Assessing Statistical Disclosure Risk for Differentially Private, Hierarchical Count Data, With Application to the 2020 U. S. Decennial Census	0
Generalized Odds Rate Frailty Models for Current Status Data with Informative Censoring	0
A New Paradigm for Generative Adversarial Networks Based on Randomized Decision Rules	0
An iterative algorithm to learn from positive and unlabeled examples	0
Consistency of survival tree and forest models: splitting bias and correction	0
Group Testing Regression Analysis with Missing Data and Imperfect Tests	0
Consistent Screening Procedures in High-dimensional Binary Classification	0
Globally Adaptive Longitudinal Quantile Regression With High Dimensional Compositional Covariates	0
Detecting Abrupt Changes in High-Dimensional Self-Exciting Poisson Processes	0
Distributed Empirical Likelihood Approach to Integrating Unbalanced Datasets	0
The Binary Expansion Randomized Ensemble Test	0
STATISTICAL INFERENCE IN QUANTILE REGRESSION FOR ZERO-INFLATED OUTCOMES	0
On Combining Individual-Level Data With Summary Data in Statistical Inferences	0
Distributed Sparse Composite Quantile Regression in Ultrahigh Dimensions	0
Orthogonal Minimally Aliased Response Surface Designs for Three-Level Quantitative Factors and Two-Level Categorical Factors	0
Robust Rank Canonical Correlation Analysis for Multivariate Survival Data	0
Trade-off Between Validity and Efficiency of Merging P-Values Under Arbitrary Dependence	0