Statistica Sinica

Article	Citations
OPTIMAL SUBSAMPLING ALGORITHMS FOR BIG DATA REGRESSIONS	23
Sufficient and Necessary Conditions for the Identifiability of the Q-matrix	11
Softplus INGARCH Model	11
A New Principle for Tuning-Free Huber Regression	10
Elastic-net Regularized High-dimensional Negative Binomial Regression: Consistency and Weak Signal Detection	9
A Position-Based Approach for Design and Analysis of Order-of-Addition Experiments	6
Some first results on the consistency of spatial regression with partial differential equation regularization	5
A CLASS OF MULTILEVEL NONREGULAR DESIGNS FOR STUDYING QUANTITATIVE FACTORS	5
DESIGN BASED INCOMPLETE U-STATISTICS	4
Arc-Sin Transformation for Binomial Sample Proportions in Small Area Estimation	4
Nonparametric Maximum Likelihood Estimation Under a Likelihood Ratio Order	4
Multiple Improvements of Multiple Imputation Likelihood Ratio Tests	4
Community Detection in Sparse Networks Using the Symmetrized Laplacian Inverse Matrix (SLIM)	4
Orthogonal Minimally Aliased Response Surface Designs for Three-Level Quantitative Factors and Two-Level Categorical Factors	3
Subsampling and Jackknifing: A Practically Convenient Solution for Large Data Analysis With Limited Computational Resources	3
Total-effect test is superfluous for establishing complementary mediation	3
Quantile Estimation of Regression Models with GARCH-X Errors	3
Directed Networks with a Differentially Private Bi-degree Sequence	3
Asymptotics of eigenstructure of sample correlation matrices for high-dimensional spiked models	3
Envelopes for elliptical multivariate linear regression	3
Optimal Model Averaging Based on Generalized Method of Moments	3
Joint Bayesian Variable and DAG Selection Consistency for High-dimensional Regression Models with Network-structured Covariates	3
Graph-based two-sample tests for data with repeated observations	3
Simplex-based Multinomial Logistic Regression with Diverging Numbers of Categories and Covariates	3
Consistency of survival tree and forest models: splitting bias and correction	3

Unifying and Generalizing Methods for Removing Unwanted Variation Based on Negative Controls	3
Test of the Latent Dimension of a Spatial Blind Source Separation Model	3
DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction	3
Dynamic Penalized Splines for Streaming Data	3
Varying Coefficient Panel Data Model with Interactive Fixed Effects	2
Gaussian Process Prediction using Design-Based Subsampling	2
Consistent Screening Procedures in High-dimensional Binary Classification	2
Sufficient Dimension Reduction for Feasible and Robust Estimation of Average Causal Effect	2
Least Favorable Direction Test for Multivariate Analysis of Variance in High Dimension	2
High-dimensional Varying Index Coefficient Quantile Regression Model	2
Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension	2
FUNCTIONAL ADDITIVE QUANTILE REGRESSION	2
Nonparametric Estimation and Testing for Panel Count Data with Informative Terminal Event	2
Construction of strong group-orthogonal arrays	2
SEAMLESS PHASE II/III CLINICAL TRIALS WITH COVARIATE ADAPTIVE RANDOMIZATION	2
Penalized Interaction Estimation for Ultrahigh Dimensional Quadratic Regression	2
Hypothesis Testing in Large-scale Functional Linear Regression	2
Empirical Likelihood Ratio Tests for Varying Coefficient Geo Models	2
Compound Sequential Change-point Detection in Parallel Data Streams	2
Sparse and Low-Rank Matrix Quantile Estimation With Application to Quadratic Regression	2
On Sure Screening with Multiple Responses	2
Grouped Network Poisson Autoregressive Model	2
A METHOD OF LOCAL INFLUENCE ANALYSIS IN SUFFICIENT DIMENSION REDUCTION	2
An Online Projection Estimator for Nonparametric Regression in Reproducing Kernel Hilbert Spaces	2
A nonparametric test for stationarity in functional time series	2
Variable Selection for Multiple Function-on-Function Linear Regression	2
Extreme Quantile Estimation Based on the Tail Single-index Model	2
New HSIC-based tests for independence between two stationary multivariate time series	2
Bayesian Inference on Multivariate Medians and Quantiles	2
Longitudinal clustering for heterogeneous binary data	2
A Permutation Test for Two-Sample Means and Signal Identification of High-dimensional Data	2
A UNIFIED FRAMEWORK FOR MINIMUM ABERRATION	2
Confidence intervals for high-dimensional Cox models	2
Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models	2
Multivariate Spline Estimation and Inference for Image-on-Scalar Regression	2
Sparse Sliced Inverse Regression via Cholesky Matrix Penalization	2
Randomized Response Sampling with Applications to Tracking Drugs for Better Life	2
New Wavelet SURE Thresholds of Elliptical Distributions under the Balance Loss	2
Double Happiness: Enhancing the Coupled Gains of L-lag Coupling via Control Variates	2
On Ordering Problems: A Statistical Approach	2
Feature Screening for Network Autoregression Model	2
BOLT-SSI: A Statistical Approach to Screening Interaction Effects for Ultra-High Dimensional Data	2
A projection-based consistent test incorporating dimension-reduction in partial linear models	2
Reference Priors for the Generalized Extreme Value Distribution	1
A Systematic View of Information-Based Optimal Subdata Selection: Algorithm Development, Performance Evaluation, and Application in Financial Data	1
Balanced Donor Imputation Handling Swiss Cheese Nonresponse	1
On Construction of Optimal Exact Confidence Intervals	1
ON THE CONSISTENCY OF THE LEAST SQUARES ESTIMATOR IN MODELS SAMPLED AT RANDOM TIMES DRIVEN BY LONG MEMORY NOISE: THE RENEWAL CASE	1
Nonparametric Interaction Selection	1
Bayesian Predictive Inference Without a Prior	1

Consistency of BIC Model Averaging	1
High-Dimensional Factor Regression for Heterogeneous Subpopulations	1
A Functional Information Criterion for Region Selection in Functional Linear Models	1
Robust Inference for Partially Observed Functional Response Data	1
A new nonparametric extension of ANOVA via projection mean variance measure	1
That Prasad-Rao is Robust: Estimation of Mean Squared Prediction Error of Observed Best Predictor under Potential Model Misspecification	1
Inference for Projection-Based Wasserstein Distances on Finite Spaces	1
A Bayesian semi-parametric mixture model for bivariate extreme value analysis with application to precipitation forecasting	1
Robust smoothed canonical correlation analysis for functional data	1
Statistical Inference for Mean Function of Longitudinal Imaging Data over Complicated Domains	1
Power Analysis of Projection-Pursuit Independence Tests	1
Efficient kernel-based variable selection with sparsistency	1
Adaptive Randomization via Mahalanobis Distance	1
Data Integration in High Dimension With Multiple Quantiles	1
On supervised reduction and its dual	1
Risk-predictive probabilities and dynamic nonparametric conditional quantile models for longitudinal analysis	1
On the Beta Prime Prior for Scale Parameters in High-Dimensional Bayesian Regression Models	1
Asymptotic Independence of the Sum and Maximum of Dependent Random Variables with Applications to High-dimensional Tests	1
Nonparametric covariance estimation for mixed longitudinal studies, with applications in midlife women's health	1
Causal Proportional Hazards Estimation with a Binary Instrumental Variable	1
The Identifiability of Copula Models for Dependent Competing Risks Data With Exponentially Distributed Margins	1
Functional-Input Gaussian Processes with Applications to Inverse Scattering Problems	1
Propensity Score Weighting Analysis of Survival Outcomes Using Pseudo-Observations	1
Matrix Completion under Low-Rank Missing Mechanism	1
STATISTICAL INFERENCE IN QUANTILE REGRESSION FOR ZERO-INFLATED OUTCOMES	1
Moving Sum Data Segmentation for Stochastic Processes Based on Invariance	1
TESTING HETEROSCEDASTICITY FOR REGRESSION MODELS BASED ON PROJECTIONS	1
A robust and nonparametric two-sample test in high dimensions	1
Propensity model selection with nonignorable nonresponse and instrument variable	1
A Minimum Discrepancy Approach With Fourier Transform in Sufficient Dimension Reduction	1
Rates of Bootstrap Approximation for Eigenvalues in High-Dimensional PCA	1
Use of Random Integration to Test Equality of High Dimensional Covariance Matrices	1
Prior Knowledge Guided Ultra-High Dimensional Variable Screening With Application to Neuroimaging Data	1
Mallows Model Averaging Estimator for the MIDAS Model with Almon Polynomial Weight	1
Omnibus Model Checks of Linear Assumptions through Distance Covariance	1
Time series models for realized covariance matrices based on the matrix-F distribution	1
On Construction of Nonregular Two-Level Factorial Designs With Maximum Generalized Resolutions	1
Nonparametric Tests of Independence for Circular Data Based on Trigonometric Moments	1
Hypothesis Testing for Block-structured Correlation for High Dimensional Variables	1
CONDITIONAL MARGINAL TEST FOR HIGH DIMENSIONAL QUANTILE REGRESSION	1
Robust Inference in Varying-coefficient Additive Models for Longitudinal/Functional Data	1
A Model-averaging method for high-dimensional regression with missing responses at random	1
Model Checking in Large-Scale Dataset via Structure-Adaptive-Sampling	1
PARAMETER REDUNDANCY AND THE EXISTENCE OF MAXIMUM LIKELIHOOD ESTIMATES IN LOG-LINEAR MODELS	1
Dimension reduction via adaptive slicing	1
Power Laws Distributions in Objective Priors	1
Defining And Estimating Principal Stratum Specific Natural Mediation Effects With Semi-competing Risks Data	1
A Simple and Efficient Estimation of Average Treatment Effects in Models with Unmeasured Confounders	1
Statistical Inference for Functional Time Series	1
Copula-based Partial Correlation Screening: a Joint and Robust Approach	1
Infinite Arms Bandit: Optimality via Confidence Bounds	1
A Robust Consistent Information Criterion for Model Selection Based on Empirical Likelihood	1
Trade-off Between Validity and Efficiency of Merging P-Values Under Arbitrary Dependence	1
Fast Nonparametric Maximum Likelihood Density Deconvolution Using Bernstein Polynomial	1
Testing One Hypothesis Multiple Times	1
On Semiparametric Instrumental Variable Estimation of Average Treatment Effects through Data Fusion	1
A Maximin Φp-Efficient Design for Multivariate Generalized Linear Models	1
Adaptive Change Point Monitoring for High-Dimensional Data	1
Automated Estimation of Heavy-Tailed Vector Error Correction Models	1
Optimal Sequential Tests for Monitoring Changes in the Distribution of Finite Observation Sequences	1
Estimation and Inference for Dynamic Single-Index Varying-Coefficient Models	1
Detecting Multiple Change Points: The PULSE Criterion	1
Test for Conditional Variance of Integer-Valued Time Series	1
Modeling Nonstationary and Asymmetric Multivariate Spatial Covariances via Deformations	1
Robust Estimation of the Mean and Covariance Matrix for High Dimensional Time Series	1
Semiparametric Dose Finding Methods for Partially Ordered Drug Combinations	1
Construction of Uniform Designs and Complex-Structured Uniform Designs via Partitionable t-Designss	1
A kernel regression model for panel count data with time-varying coefficients	1
Optimal Classification for Functional Data	1
Synthesis of Order-of-Addition Models	1
Doubly Robust Regression Analysis for Data Fusion	1
Nonparametric Bayesian Two-Level Clustering for Subject-Level Single-Cell Expression Data	1
Propensity Score Regression for Causal Inference With Treatment Heterogeneity	1
A Sequential Significance Test for Treatment by Covariate Interactions	1
Model Selection of Generalized Estimating Equation With Divergent Model Size	1
Network Influence Analysis	1
Simultaneous estimation of normal means with side information	1
A Langevinized Ensemble Kalman Filter for Large-Scale Dynamic Learning	1
Group Testing Regression Analysis with Missing Data and Imperfect Tests	1
Measures of Uncertainty for Shrinkage Model Selection	1

A Divide and Conquer Sequential Monte Carlo Approach to High Dimensional Filtering	1
High-Dimensional Alpha Test of the Linear Factor Pricing Models With Heavy-Tailed Distributions	1
Hypothesis Testing for the Covariance Matrix in High-Dimensional Transposable Data with Kronecker Product Dependence Structure	1
Causal Inference from Possibly Unbalanced Split-Plot Designs: A Randomization-based Perspective	1
Estimation for Extreme Conditional Quantiles of Functional Quantile Regression	1
Statistical Inference for Functional Time Series: Autocovariance Function	1
Structured Correlation Detection with Application to Colocalization Analysis in Dual-Channel Fluorescence Microscopic Imaging	1
A Clustered Gaussian Process Model for Computer Experiments	1
A New Model-Free Feature Screening Procedure for Ultrahigh-Dimensional Interval-Censored Failure Time Data	1
On Cumulative Slicing Estimation for High Dimensional Data	1
Approximating Optimal SMC Proposal Distributions in Individual-Based Epidemic Models	1
Poisson Regression With Error Corrupted High Dimensional Features	1
Self-Normalized Sequential Change-point Detection	1
Variational Inference for Latent Space Models for Dynamic Networks	1
Hybrid Hard-Soft Screening for High-dimensional Latent Class Analysis	0
Inferring Social Influence in Dynamic Networks	0
A Sequential Probability Ratio Test for Sparse Gaussian Mixtures	0
A Universal Test on Spikes in a High-Dimensional Generalized Spiked Model and Its Applications	0
Semiparametric Estimation of Probabilistic Index Models: Efficiency and Bias	0
Locally Sparse Estimator of Generalized Varying Coefficient Model for Asynchronous Longitudinal Data	0
Lévy Adaptive B-spline Regression via Overcomplete Systems	0
Robust Inference of Conditional Average Treatment Effects Using Dimension Reduction	0
Relationship between orthogonal and baseline parameterizations and its applications to design constructions	0
Regularized Estimation in High-Dimensional Vector Auto-Regressive Models Using Spatio-Temporal Information	0
Testing and Modelling for the Structural Change in Covariance Matrix Time Series With Multiplicative Form	0
An Iterated Block Particle Filter for Inference on Coupled Dynamic Systems With Shared and Unit-Specific Parameters	0
Copula-Based Functional Bayes Classification With Principal Components and Partial Least Squares	0
Weighted Rank Estimation for Random-Effects Monotonic Index Models With Panel Count Data	0
Frequentist Model Averaging for the Nonparametric Additive Model	0
A Note on Endogeneity Resolution in Regression Models for Comparative Studies	0
Likelihood-Based Dimension Folding on Tensor Data	0
Large Sample Properties of Matching for Balance	0
Weak Signal Identification and Inference in Penalized Likelihood Models for Categorical Responses	0
Hypothesis Testing in High-Dimensional Instrumental Variables Regression With an Application to Genomics Data	0
Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference	0
Testing the Linear Mean and Constant Variance Conditions in Sufficient Dimension Reduction	0
Mechanisms for Global Differential Privacy under Bayesian Data Synthesis	0
A Note on Information Bias and Efficiency of Composite Likelihood	0
Identification of Partial-Differential-Equations-Based Models from Noisy Data with Splines	0
A Zero-imputation Approach in Recommendation Systems with Data Missing Heterogeneously	0
Minimal Second Order Saturated Designs and Their Applications to Space-Filling Designs	0
On Estimation of the Logarithm of the Mean Squared Prediction Error of A Mixed-effect Predictor	0
Adaptive Tests for Bandedness of High-dimensional Covariance Matrices	0
Parametric Bootstrap Inference for Stratified Models With High-Dimensional Nuisance Specifications	0
De-biasing Particle Filtering for a Continuous Time Hidden Markov Model With a Cox Process Observation Model	0
Identifying Latent Groups in Spatial Panel Data Using a Markov Random Field Constrained Product Partition Model	0
Asymptotic Behavior of the Maximum Likelihood Estimator for General Markov Switching Models	0
Fixed-Domain Asymptotics Under Vecchia's Approximation of Spatial Process Likelihoods	0
Feature-Weighted Elastic Net: Using "Features of Features" for Better Prediction	0
A Unified Approach to Focused Information Criterion and Plug-In Averaging Method	0
Eigenvalue Distribution of a High-Dimensional Distance Covariance Matrix With Application	0
OPTIMAL DESIGNS FOR SERIES ESTIMATION IN NONPARAMETRIC REGRESSION WITH CORRELATED DATA	0
Penalized Regression for Multiple Types of Many Features With Missing Data	0
Spectral distribution of the sample covariance of high-dimensional time series with unit roots	0
A Simple Method for Estimating Gaussian Graphical Models	0
Principal Components Analysis for Right Censored Data	0
Efficient Estimation for Dimension Reduction with Censored Survival Data	0
Semiparametric Maximum Likelihood Estimation With Two-Phase Stratified Case-Control Sampling	0
Particle-based, Rapid Incremental Smoother Meets Particle Gibbs	0
Projection-based Inference for High-dimensional Linear Models	0
Dynamic Copula-Based Nonparametric Estimation of Rank-Tracking Probabilities With Longitudinal Data	0
A Locally Adaptive Shrinkage Approach to False Selection Rate Control in High-Dimensional Classification	0
Differentiable Particle Filters with Smoothly Jittered Resampling	0
Threshold Estimation in Proportional Mean Residual Life Model	0
Regression Analysis of Panel Count Data With Both Time-Dependent Covariates and Time-Varying Effects	0
Efficient designs for the estimation of mixed and self carryover effects	0
Selection of Proposal Distributions for Multiple Importance Sampling	0
Calibrated zero-norm regularized LS estimator for high-dimensional error-in-variables regression	0
Score Tests With Incomplete Covariates and High-Dimensional Auxiliary Variables	0
Sharp Bounds for Variance of Treatment Effect Estimators in the Presence of Covariates	0
Robust Estimation of Covariance Matrices: Adversarial Contamination and Beyond	0
Deep Learning for Marginal Bayesian Posterior Inference with Recurrent Neural Networks	0
Pseudo-Bayesian Approach for Quantile Regression Inference: Adaptation to Sparsity	0
Homogeneity Tests for High-dimensional Mean Vectors and Covariance Matrices	0
A Bayesian Subset Specific Approach to Joint Selection of Multiple Graphical Models	0
Kernel Regression Utilizing External Information as Constraints	0
Bandit Theory: Applications to Learning Healthcare Systems and Clinical Trials	0
Oracally Efficient Global Inference for Variance Function in Nonparametric Regression With Missing Covariates	0
Unified Tests for Nonparametric Functions in RKHS With Kernel Selection and Regularization	0
Semi-Standard Partial Covariance Variable Selection When Irrepresentable Conditions Fail	0
Bayesian Estimation of Gaussian Conditional Random Fields	0
Partially Functional Linear Quantile Regression With Measurement Errors	0
Scaled Partial Envelope Model in Multivariate Linear Regression	0
Communication-Efficient Distributed Linear Discriminant Analysis for Binary Classification	0
Sliced Inverse Regression in Metric Spaces	0
Testing for Threshold Effects in the TARMA Framework	0
An Approximate Bayesian Approach to Model-assisted Survey Estimation with Many Auxiliary Variables	0
Interval Estimation for Operating Characteristic Of Continuous Biomarkers With Controlled Sensitivity or Specificity	0
Fast Construction of Optimal Composite Likelihoods	0
An Equation for the Identification of Average Causal Effect in Nonlinear Models	0
Test for Zero Mean of Errors In An ARMA-GGARCH Model After Using A Median Inference	0
CLT For U-statistics With Growing Dimension	0
Distributed Sufficient Dimension Reduction for Heterogeneous Massive Data	0
Unbiased Boosting Estimation for Censored Survival Data	0
A THRESHOLD VARYING-COEFFICIENT AUTOREGRESSIVE MODEL FOR ANALYZING THE INFLUENCE OF MEDIA REPORTS OF SUICIDE ON THE ACTUAL SUICIDES	0