OOIR: Observatory of International Research

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 2021-03-01 to 2025-03-01.)

Article	Citations
Hypothesis Testing in High-Dimensional Instrumental Variables Regression With an Application to Genomics Data	6
Projection-based Inference for High-dimensional Linear Models	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
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
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
Score Tests With Incomplete Covariates and High-Dimensional Auxiliary Variables	3
An Equation for the Identification of Average Causal Effect in Nonlinear Models	3
Principal Components Analysis for Right Censored Data	3
Partially Functional Linear Quantile Regression With Measurement Errors	3
A Universal Test on Spikes in a High-Dimensional Generalized Spiked Model and Its Applications	3
Lévy Adaptive B-spline Regression via Overcomplete Systems	3
Weighted Rank Estimation for Random-Effects Monotonic Index Models With Panel Count Data	3
Spectral distribution of the sample covariance of high-dimensional time series with unit roots	3
A Bayesian Subset Specific Approach to Joint Selection of Multiple Graphical Models	3
Adaptive Tests for Bandedness of High-dimensional Covariance Matrices	3
Identifying Latent Groups in Spatial Panel Data Using a Markov Random Field Constrained Product Partition Model	3
A New Model-Free Feature Screening Procedure for Ultrahigh-Dimensional Interval-Censored Failure Time Data	3
Statistical Inference With Anchored Bayesian Mixture of Regressions Models: An Illustrative Study of Allometric Data	3

CLT For U-statistics With Growing Dimension	2
Test for Zero Mean of Errors In An ARMA-GGARCH Model After Using A Median Inference	2
Feature-Weighted Elastic Net: Using "Features of Features" for Better Prediction	2
Sharp Bounds for Variance of Treatment Effect Estimators in the Presence of Covariates	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
Relationship between orthogonal and baseline parameterizations and its applications to design constructions	2
Infinite Arms Bandit: Optimality via Confidence Bounds	2
An Approximate Bayesian Approach to Model-assisted Survey Estimation with Many Auxiliary Variables	2
Selection of Proposal Distributions for Multiple Importance Sampling	2
Statistical Inference for Heavy-tailed and Partially Nonstationary Vector ARMA Models	2
Statistical Inference for Functional Time Series	2
An Iterated Block Particle Filter for Inference on Coupled Dynamic Systems With Shared and Unit-Specific Parameters	2
Measures of Uncertainty for Shrinkage Model Selection	2
Power Enhancement for Dimension Detection of Gaussian Signals	2
Differentiable Particle Filters with Smoothly Jittered Resampling	2
Asymptotic Behavior of the Maximum Likelihood Estimator for General Markov Switching Models	2
Multivariate Calibrations with Auxiliary Information	2
Eigenvalue Distribution of a High-Dimensional Distance Covariance Matrix With Application	2
Nonparametric covariance estimation for mixed longitudinal studies, with applications in midlife women's health	2
Pseudo-Bayesian Approach for Quantile Regression Inference: Adaptation to Sparsity	2
A Note on Information Bias and Efficiency of Composite Likelihood	2
A CLASS OF MULTILEVEL NONREGULAR DESIGNS FOR STUDYING QUANTITATIVE FACTORS	2
Unbiased Boosting Estimation for Censored Survival Data	2
Particle-based, Rapid Incremental Smoother Meets Particle Gibbs	2
A Locally Adaptive Shrinkage Approach to False Selection Rate Control in High-Dimensional Classification	2
Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference	2
A Zero-imputation Approach in Recommendation Systems with Data Missing Heterogeneously	2
Adaptive Change Point Monitoring for High-Dimensional Data	2
Weak Signal Identification and Inference in Penalized Likelihood Models for Categorical Responses	2
Estimation for Extreme Conditional Quantiles of Functional Quantile Regression	2
Gaussian Mixture Models with Concave Penalized Fusion	2
Identification of Partial-Differential-Equations-Based Models from Noisy Data with Splines	2
Moment Deviation Subspaces of Dimension Reduction for High-Dimensional Data With Change Structure	2
Communication-Efficient Distributed Linear Discriminant Analysis for Binary Classification	2
Penalized Regression for Multiple Types of Many Features With Missing Data	1
Semi-Standard Partial Covariance Variable Selection When Irrepresentable Conditions Fail	1
Asymptotic Behaviour of the Modified Likelihood Root	1
Robust Inference for Partially Observed Functional Response Data	1
A Simultaneous Likelihood Test for Joint Mediation Effects of Multiple Mediators	1
A Sequential Probability Ratio Test for Sparse Gaussian Mixtures	1
Mallows Model Averaging Estimator for the MIDAS Model with Almon Polynomial Weight	1
Rates of Bootstrap Approximation for Eigenvalues in High-Dimensional PCA	1
Simplex-based Multinomial Logistic Regression with Diverging Numbers of Categories and Covariates	1
Fast Construction of Optimal Composite Likelihoods	1
Large Sample Properties of Matching for Balance	1
Some first results on the consistency of spatial regression with partial differential equation regularization	1
A Simple Method for Estimating Gaussian Graphical Models	1
Partially-Global Fréchet Regression	1
Locally Sparse Estimator of Generalized Varying Coefficient Model for Asynchronous Longitudinal Data	1

Power Analysis of Projection-Pursuit Independence Tests	1
Consistency of BIC Model Averaging	1
Scalable Community Detection in Massive Networks using Aggregated Relational Data	1
Robust Estimation of Covariance Matrices: Adversarial Contamination and Beyond	1
Dynamic Penalized Splines for Streaming Data	1
Optimally Monitoring a Network of Sewage Manholes in Infectious Disease Surveillance	1
Mean Tests For High-dimensional Time Series	1
Transfer Learning for High-Dimensional Quantile Regression via Convolution Smoothing	1
A Note on Endogeneity Resolution in Regression Models for Comparative Studies	1
A Permutation Test for Two-Sample Means and Signal Identification of High-dimensional Data	1
BOLT-SSI: A Statistical Approach to Screening Interaction Effects for Ultra-High Dimensional Data	1
Directional Tests in Gaussian Graphical Models	1
One Step to Efficient Synthetic Data	1
Frequentist Model Averaging for the Nonparametric Additive Model	1
Empirical Priors and Posterior Concentration in a Piecewise Polynomial Sequence Model	1
Identification and Estimation of Treatment Effects on Long-Term Outcomes in Clinical Trials With External Observational Data	1
Bayesian Estimation of Gaussian Conditional Random Fields	1
Efficient Estimation for Dimension Reduction with Censored Survival Data	1
Automatic Sparse PCA for High-Dimensional Data	1
Copula-Based Functional Bayes Classification With Principal Components and Partial Least Squares	1
Kernel Regression Utilizing External Information as Constraints	1
High-dimensional Subgroup Regression Analysis	1
A Unified Approach to Focused Information Criterion and Plug-In Averaging Method	1
Testing and Modelling for the Structural Change in Covariance Matrix Time Series With Multiplicative Form	1
Mechanisms for Global Differential Privacy under Bayesian Data Synthesis	1
A More Efficient Isomorphism Check for Two-Level Nonregular Designs	1
A Kernel Independence Test Using Projection-Based Measure in High-Dimension	1
On Estimation of the Logarithm of the Mean Squared Prediction Error of A Mixed-effect Predictor	1
CLT for High-Dimensional R2 Statistics Under a General Independent Components Model	1
Poisson Kernel-Based Tests for Uniformity on the d-Dimensional Sphere	1
Modeling and Predicting Spatio-Temporal Dynamics of PM$_{2.5}$ Concentrations Through Time-Evolving Covariance Models	1
Balanced Donor Imputation Handling Swiss Cheese Nonresponse	1
Regularized Adaptive Huber Matrix Regression and Distributed Learning	1
A Construction Method for Maximin L1-Distance Latin Hypercube Designs	1
Synthesis of Order-of-Addition Models	1
Data Integration in High Dimension With Multiple Quantiles	1
Compound Sequential Change-point Detection in Parallel Data Streams	1
Distributed Sufficient Dimension Reduction for Heterogeneous Massive Data	1
Scaled Partial Envelope Model in Multivariate Linear Regression	1
Propensity Score Weighting Analysis of Survival Outcomes Using Pseudo-Observations	1
Bayesian Inference on Multivariate Medians and Quantiles	1
Testing Hypotheses of Covariate-Adaptive Randomized Clinical Trials with Time-to-event Outcomes under the AFT Model	1
Slicing-free Inverse Regression in High-dimensional Sufficient Dimension Reduction	1
Robust Inference of Conditional Average Treatment Effects Using Dimension Reduction	1
Hypothesis Testing for Block-structured Correlation for High Dimensional Variables	1
Bandwidth Selection for Large Covariance and Precision Matrices	1
Sparse and Debiased Adaptive Huber Regression in Distributed Data: Aggregated and Communication-Efficient Approaches	1
Cross Projection Test for High-Dimension Mean Vectors	1
Hybrid Hard-Soft Screening for High-dimensional Latent Class Analysis	1
Efficient Estimation and Inference for the Signed β-Model in Directed Signed Networks	1
Time series models for realized covariance matrices based on the matrix-F distribution	1
Maximum Conditional Alpha Test for Conditional Multi-Factor Models	1
Dynamic Copula-Based Nonparametric Estimation of Rank-Tracking Probabilities With Longitudinal Data	1
Unified Tests for Nonparametric Functions in RKHS With Kernel Selection and Regularization	1
Testing for Zero Skill In Stock Picking or Market Timing	1
Fixed-Domain Asymptotics Under Vecchia's Approximation of Spatial Process Likelihoods	1
A Homogeneous Likelihood Ratio Measure for Hidden Jump-sets in Generalized Spatial Regression	1
Regularized Estimation in High-Dimensional Vector Auto-Regressive Models Using Spatio-Temporal Information	1
Homogeneity Tests for High-dimensional Mean Vectors and Covariance Matrices	1
Orthogonal Symmetric Non-Negative Matrix Factorization Under the Stochastic Block Model	1
Hypotheses Testing of Functional Principal Components	1
De-biasing Particle Filtering for a Continuous Time Hidden Markov Model With a Cox Process Observation Model	1
High-Dimensional Alpha Test of the Linear Factor Pricing Models With Heavy-Tailed Distributions	1
Gaussian Process Prediction using Design-Based Subsampling	1
Efficient Learning of Nonparametric Directed Acyclic Graph With Statistical Guarantee	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
Nonparametric Maximum Likelihood Estimation Under a Likelihood Ratio Order	1
Optimal Model Averaging for Single-Index Models With Divergent Dimensions	1
Likelihood-Based Dimension Folding on Tensor Data	1
Nonparametric Interaction Selection	1
Testing for Threshold Effects in the TARMA Framework	1
Regression Analysis of Randomized Response Event Time Data	1
Oracally Efficient Global Inference for Variance Function in Nonparametric Regression With Missing Covariates	1