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 2022-08-01 to 2026-08-01.)

Article	Citations
Randomized multiarm bandits: An improved adaptive data collection method	34
Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation	21
Deep Learning for Variable Selection in Censored Quantile Regression Models	18
Testing for the Important Components of Predictive Variance	11
	10
CLADAG 2021 special issue: Selected papers on classification and data analysis	9
Issue Information	8
BayesMultiomics : An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data	8
Model Averaging for Regression Kink Models	8
Semi‐Parametric Estimation of the Non‐Mixture Cure Model With Right‐Censored Data Under a Network Structure	7
	7
Issue Information	7
Transfer Learning for High‐Dimensional Beta Regression Models	6
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	6
Testing Hypotheses of Covariate Effects on Topics of Discourse	5
Robust deep neural network surrogate models with uncertainty quantification via adversarial training	5
Issue Information	5
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	5
Rank‐Based Inference for Conditional Independence Graph With Missing Values	5
Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	5
Robust Model‐Based Semi‐Supervised Clustering of Incomplete Records	5
On difference‐based gradient estimation in nonparametric regression	5
An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	5
Robust and Differentially Private Principal Component Analysis	4
Variational Autoencoder With Gamma Mixture for Clustering High‐Dimensional Right‐Skewed Data	4

Model‐Based Recursive Partitioning for Discrete Event Times	4
Input‐response space‐filling designs incorporating response uncertainty	4
Extracting Genetically‐Imputed Causal Features From ECG Data	4
Tensor Quantile Regression With Exponential‐Type Penalty	4
Bayesian Dirichlet Process Copula Mixtures for Heterogeneous Multi‐Cluster Data: Methods and an NBA Player Stats Application	4
A finely tuned deep transfer learning algorithm to compare outsole images	4
Bayesian inference for nonprobability samples with nonignorable missingness	4
The analysis of association rules: Latent class analysis	3
e^RPCA: Robust Principal Component Analysis for Exponential Family Distributions	3
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	3
Stabilizing Inference in Dirichlet Regression via Ridge‐Penalized Model	3
Recovering the Number of Clusters From a Laplacian Matrix by Nuclear Norm Penalization	3
Adaptive Weighted Regularized QRGRU Algorithm and Its Application in Stock Price Prediction	3
Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors	3
Transfer Learning for Linearized Maximum Rank Correlation Estimation	3
Nonparametric clustering of RNA‐sequencing data	3
Issue Information	3
A Novel Approach for APT Detection Based on Ensemble Learning Model	3
	3
Cost‐sensitive classification with time constraint on incomplete data	3
A Nonparametric Two‐Sample Test Using a Parametric Integral Probability Metric	3
Issue Information	3
Issue Information	3
Wavelet‐Based Single‐Index Additive Models With Irregular Link and Additive Functions	3
Driving mode analysis—How uncertain functional inputs propagate to an output	3
Online Updating Composite Quantile Regression for Streaming Data	3
Interaction Tests With Covariate‐Adaptive Randomization	3
Model Average Estimation of Parameters in Linear Model With Multiple Change Points	2
Density estimation via measure transport: Outlook for applications in the biological sciences	2
	2
Unsupervised Time‐Event Probabilistic Classification Using Large Panels of Time Series	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
Constructing Cell‐Type Taxonomy by Optimal Transport With Relaxed Marginal Constraints	2
Large Multi‐Response Linear Regression Estimation Based on Low‐Rank Pre‐Smoothing	2
Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression	2
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction	2
Semiparametric detection of changepoints in location, scale, and copula	2
Simplicial depth and its median: Selected properties and limitations	2
Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain	2
Semiparametric estimation of average treatment effects in observational studies	2
Low‐Dimensional Adaptive Neural Network Regression With Directional Change Detection via Nuclear Norm Penalization	2
Estimating the Variance–Covariance Matrix of Two‐Step Estimates of Latent Variable Models: A General Simulation‐Based Approach	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
Bayesian batch optimization for molybdenum versus tungsten inertial confinement fusion double shell target design	2