OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Computational and Graphical Statistics is 4. 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 2022-08-01 to 2026-08-01.)

Article	Citations
Efficient Estimation of Parameters in Marginals in Semiparametric Multivariate Models	49
Local Clustering for Functional Data	39
Revisiting Convolutional Neural Networks from the Viewpoint of Kernel-Based Methods	36
Optimizing Two-Arm Clinical Trials for Personalized Medicine Using Integer Programming and Heuristic Algorithms	34
Simultaneous Estimation of Connectivity and Dimensionality in Samples of Networks	27
Correction	23
Distance-based Clustering of Functional Data with Derivative Principal Component Analysis	21
Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes	20
Joint Modeling of Longitudinal Imaging and Survival Data	19
Simultaneous Feature- and Sample-Splitting ADMM for Penalized Rank Regression*	19
Functional Nonlinear Learning	19
Using Rejection Sampling Probability of Acceptance as a Measure of Independence	18
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization	18
A Generalization Gap Estimation for Overparameterized Models via the Langevin Functional Variance	18
Dynamic Prediction Using Landmark Historical Functional Cox Regression	17
Structured Shrinkage Priors	16
Local Indicators of Mark Association for Marked Spatial Point Processes	15
Renewable ℓ ₁ -Regularized Linear Support Vector Machine with High-Dimensional Streaming Data	14
Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach	14
Fast Conservative Monte Carlo Confidence Sets	13
Non-Conjugate Variational Bayes for Pseudo-Likelihood Mixed Effect Models	12
Core-Elements Subsampling for Alternating Least Squares	12
Tree-Enhanced Latent Space Models for Two-Mode Networks	12
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory	11
Functional Mixed Membership Models	11

Covariance–Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference	11
Gibbs Sampling for Mixtures in Order of Appearance: The Ordered Allocation Sampler	10
Biconvex Clustering	10
Implicit Copula Variational Inference	10
Functional Projection K -means	10
Principal Subsimplex Analysis	10
Scalable Estimation and Two-Sample Testing for Large Networks via Subsampling	9
Computationally Efficient Learning of Gaussian Linear Structural Equation Models with Equal Error Variances	9
An Extension of the Unified Skew-Normal Family of Distributions and its Application to Bayesian Binary Regression	9
Gaussian Variational Approximation for Ordinal Data with Crossed Random Effects	9
Adaptive Sequential Monte Carlo for Structured Cross Validation in Bayesian Hierarchical Models	9
EM Algorithm for the Estimation of the RETAS Model	9
Multi-label Random Subspace Ensemble Classification	9
Fast Bayesian Inference for Spatial Mean-Parameterized Conway–Maxwell–Poisson Models	9
Backward Importance Sampling for Online Estimation of State Space Models	9
On the Use of Minimum Penalties in Statistical Learning	9
Massive Parallelization of Massive Sample-Size Survival Analysis	9
On Data Augmentation for Models Involving Reciprocal Gamma Functions	8
On Inference for Modularity Statistics in Structured Networks	8
A Generalized Mean Approach for Distributed-PCA	8
Optimal Integrating Learning for Split Questionnaire Design Type Data	8
EMbru: A Quick and Accurate Bayesian Inference Method for Hawkes Point Process Modeling	8
A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression	8
Fast Bayesian Functional Principal Components Analysis	8
Variational Inference of Bayesian Dynamic Generalized Additive Models for Mortality Analysis	8
Ultra-Efficient MCMC for Bayesian Longitudinal Functional Data Analysis	8
Hidden Block Regression: A General Framework for Multi-Response Models with Group Structures and Hidden Variables	8
Bayesian Nowcasting with Laplacian-P-Splines	8
Bayesian Adaptive Tucker Decompositions for Tensor Factorization	7
Approximations in the Homogeneous Ising Model with Application to Scene Analysis	7
Multivariate Moment Least-Squares Variance Estimators for Reversible Markov Chains	7
More Powerful Selective Inference for the Graph Fused Lasso	7
Meta Clustering for Collaborative Learning	7
Competing Risk Modeling with Bivariate Varying Coefficients to Understand the Dynamic Impact of COVID-19	7
Measure of Strength of Evidence for Visually Observed Differences between Subpopulations	7
On Exact Computation of Tukey Depth Central Regions	7
Supervised Manifold Learning for Functional Data	7
Computational Approaches for Exponential-Family Factor Analysis	7
Correction	7
Tensor Additive Quantile Regression	7
Convergence of Position-Dependent MALA with Application to Conditional Simulation in GLMMs	7
Wavelet Feature Screening	7
Variational Bayes in State Space Models: Inferential and Predictive Accuracy	7
A Flexible Framework for Synthesizing Categorical Sequences with Application to Human Activity Patterns	7
Supervised Predictive Modeling of High-Dimensional Data with Group ℓ ⁰ -Norm Constrained Neural Networks	7
Can You See The Change? Change Point Detection Using Visual Inference	7
A Projection Approach to Local Regression with Variable-Dimension Covariates	7
Subgroup Structure Detection and Prediction via Minimal Spanning Tree	6
A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown Parameters	6
Vecchia Likelihood Approximation for Accurate and Fast Inference with Intractable Spatial Max-Stable Models	6

An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression	6
Bayesian Sociality Models: A Scalable and Flexible Alternative for Network Analysis	6
A Unified Framework for Community Detection and Model Selection in Blockmodels	6
Simultaneous Estimation of Many Sparse Networks via Hierarchical Poisson Log-Normal Model	6
Accelerated Structured Matrix Factorization	6
Spatio-Temporal Prediction of Fine-Grained Origin-Destination Matrices with Applications in Ridesharing	6
Bootstrap Inference for Linear Time-Varying Coefficient Models in Locally Stationary Time Series	6
Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes	6
Online Spectral Density Estimation	6
Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects	6
Scalable Variational Bayes Inference for Dynamic Variable Selection	6
Efficient Quantization Mean Estimation for Distributed Learning	6
Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions	6
Casewise and Cellwise Robust Multilinear Principal Component Analysis	6
Estimation of the Spatial Weighting Matrix for Spatiotemporal Data under the Presence of Structural Breaks	6
Monotone Cubic B-Splines with a Neural-Network Generator	6
The Mean Shape under the Relative Curvature Condition	6
Quick Adaptive Ternary Segmentation: An Efficient Decoding Procedure For Hidden Markov Models	6
Deep Neural Network for Functional Graphical Models Structure Learning	6
On the Wasserstein Median of Probability Measures	5
Approximate Bayesian Computation with Deep Learning and Conformal prediction	5
Distributed Nonparametric Regression with Heterogeneity Through Prediction-Based Aggregation	5
Deeply Learned Generalized Linear Models with Missing Data	5
High-Dimensional Covariate-Augmented Overdispersed Multi-Study Poisson Factor Model	5
A Fast Solution to the Lasso Problem with Equality Constraints	5
Simultaneous Estimation of Multiple Treatment Effects from Observational Studies	5
Hybrid Kronecker Product Decomposition and Approximation	5
A Multi-Attribute Evaluation of Genotype-Environment Experiments Using Biplots and Joint Plots Graphics	5
Probabilistic K -means with Local Alignment for Clustering and Motif Discovery in Functional Data	5
Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors	5
Universal Inference Meets Random Projections: A Scalable Test for Log-Concavity	5
Fluid Correlation: A Novel Nonparametric Metric to Assess the Dynamic Association	5
Dependence Model Assessment and Selection with DecoupleNets	5
Community Detection with Heterogeneous Block Covariance Model	5
Quantile Regression and Homogeneity Identification of a Semiparametric Panel Data Model	5
Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net	5
AddiVortes: (Bayesian) Additive Voronoi Tessellations	5
Nonlinear Functional Modeling Using Neural Networks	5
Spatial Heterogeneous Additive Partial Linear Model: A Joint Approach of Bivariate Spline and Forest Lasso	5
FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions	5
Heterogeneous Functional Regression for Subgroup Analysis	5
Semiparametric Weighted Spline Regression (SWSR) in Confirmatory Clinical Trials with Time-Varying Placebo Effects	5
Big Data Model Building Using Dimension Reduction and Sample Selection	5
Boosting Prediction with Data Missing Not at Random	4
Efficient Approximation of Leverage Scores in Two-Dimensional Autoregressive Models with Application to Image Anomaly Detection	4
Approximating Partial Likelihood Estimators via Optimal Subsampling	4
Co-Factor Analysis of Citation Networks	4
Asynchronous and Distributed Data Augmentation for Massive Data Settings	4
Principal Variables Analysis for Non-Gaussian Data	4
Distributed Learning for Principal Eigenspaces without Moment Constraints	4
Generative Quantile Regression with Variability Penalty	4
Bayesian Multilevel Network Recovery Selection	4
Loss-Based Variational Bayes Prediction	4
Fast Bayesian Record Linkage for Streaming Data Contexts	4
Influential Observations Detection by Random Projection in High-Dimensional Multivariate Response Linear Model	4
No More, No Less than Sum of Its Parts: Groups, Monoids, and the Algebra of Graphics, Statistics, and Interaction	4
Efficient Modeling of Spatial Extremes over Large Geographical Domains	4
Triangular Concordance Learning of Networks	4
Varying Coefficient Model via Adaptive Spline Fitting	4
Eye Fitting Straight Lines in the Modern Era	4
Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models	4
Structured Variational Approximations with Skew Normal Decomposable Graphical Models and Implicit Copulas	4
Nonstationary Spatial Modeling of Massive Global Satellite Data	4
A Fast, Closed-Form Bandwidth Selector for the Beta Kernel Density Estimator	4
Choice of Trimming Proportion and Number of Clusters in Robust Clustering based on Trimming	4
Variational Inference Aided Variable Selection For Spatially Structured High Dimensional Covariates	4
Variable Selection and Basis Learning for Ordinal Classification	4
Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data	4
A Stability Framework for Parameter Selection in the Minimum Covariance Determinant Problem	4
On Seeded Subgraph-to-Subgraph Matching: The ssSGM Algorithm and Matchability Information Theory	4
Correction	4
A Cepstral Model for Efficient Spectral Analysis of Covariate-Dependent Time Series	4
A Deep Dynamic Latent Block Model for Co-clustering of Zero-Inflated Data Matrices	4
AutoGFI: Streamlined Generalized Fiducial Inference for Modern Inference Problems in Models with Additive Errors	4
Communication-Efficient Nonparametric Quantile Regression via Random Features	4
Few-Round Distributed Principal Component Analysis: Closing the Statistical Efficiency Gap by Consensus	4
Fast Computer Model Calibration using Annealed and Transformed Variational Inference	4