OOIR: Observatory of International Research

Papers

(The TQCC of Statistical Analysis and Data Mining is 2. 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 2022-06-01 to 2026-06-01.)

Article	Citations
Randomized multiarm bandits: An improved adaptive data collection method	31
Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation	21
Deep Learning for Variable Selection in Censored Quantile Regression Models	20
Testing for the Important Components of Predictive Variance	18
	10
Issue Information	9
CLADAG 2021 special issue: Selected papers on classification and data analysis	9
BayesMultiomics : An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data	9
Model Averaging for Regression Kink Models	8
Kernel learning with nonconvex ramp loss	8
Transfer Learning for High‐Dimensional Beta Regression Models	7
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	7
Rank‐Based Inference for Conditional Independence Graph With Missing Values	7
	7
Robust Model‐Based Semi‐Supervised Clustering of Incomplete Records	6
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	5
Robust and Differentially Private Principal Component Analysis	5
Bayesian Dirichlet Process Copula Mixtures for Heterogeneous Multi‐Cluster Data: Methods and an NBA Player Stats Application	5
Testing Hypotheses of Covariate Effects on Topics of Discourse	5
On difference‐based gradient estimation in nonparametric regression	5
Robust deep neural network surrogate models with uncertainty quantification via adversarial training	5
Issue Information	5
Variational Autoencoder With Gamma Mixture for Clustering High‐Dimensional Right‐Skewed Data	5
Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	5
Issue Information	4

Extracting Genetically‐Imputed Causal Features From ECG Data	4
Model‐Based Recursive Partitioning for Discrete Event Times	4
A finely tuned deep transfer learning algorithm to compare outsole images	4
An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	4
Bayesian inference for nonprobability samples with nonignorable missingness	4
Input‐response space‐filling designs incorporating response uncertainty	4
Adaptive Weighted Regularized QRGRU Algorithm and Its Application in Stock Price Prediction	3
Issue Information	3
Recovering the Number of Clusters From a Laplacian Matrix by Nuclear Norm Penalization	3
e^RPCA: Robust Principal Component Analysis for Exponential Family Distributions	3
Stabilizing Inference in Dirichlet Regression via Ridge‐Penalized Model	3
Wavelet‐Based Single‐Index Additive Models With Irregular Link and Additive Functions	3
Online Updating Composite Quantile Regression for Streaming Data	3
Driving mode analysis—How uncertain functional inputs propagate to an output	3
Transfer Learning for Linearized Maximum Rank Correlation Estimation	3
The analysis of association rules: Latent class analysis	3
Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors	3
A Novel Approach for APT Detection Based on Ensemble Learning Model	3
	3
Interaction Tests With Covariate‐Adaptive Randomization	3
Nonparametric clustering of RNA‐sequencing data	3
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	3
Issue Information	3
Semiparametric detection of changepoints in location, scale, and copula	2
Cost‐sensitive classification with time constraint on incomplete data	2
Data‐driven stochastic model for quantifying the interplay between amyloid‐beta and calcium levels in Alzheimer's disease	2
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies	2
Constructing Cell‐Type Taxonomy by Optimal Transport With Relaxed Marginal Constraints	2
Bayesian batch optimization for molybdenum versus tungsten inertial confinement fusion double shell target design	2
Unsupervised Time‐Event Probabilistic Classification Using Large Panels of Time Series	2
Low‐Dimensional Adaptive Neural Network Regression With Directional Change Detection via Nuclear Norm Penalization	2
	2
Simplicial depth and its median: Selected properties and limitations	2
A deep learning factor analysis model based on importance‐weighted variational inference and normalizing flow priors: Evaluation within a set of multidimensional performance assessments in youth elite	2
	2
Density estimation via measure transport: Outlook for applications in the biological sciences	2
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction	2
Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression	2
Model Average Estimation of Parameters in Linear Model With Multiple Change Points	2
Large Multi‐Response Linear Regression Estimation Based on Low‐Rank Pre‐Smoothing	2
Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain	2
Semiparametric estimation of average treatment effects in observational studies	2