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 2021-10-01 to 2025-10-01.)

Article	Citations
	488
Randomized multiarm bandits: An improved adaptive data collection method	20
Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation	19
Sample selection bias in evaluation of prediction performance of causal models	17
Deep Learning for Variable Selection in Censored Quantile Regression Models	15
Testing for the Important Components of Predictive Variance	13
Data‐drivensparse partial least squares	11
	10
Model Averaging for Regression Kink Models	9
BayesMultiomics: An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data	9
Data Twinning	8
Issue Information	7
Some Bayesian biclustering methods: Modeling and inference	7
CLADAG 2021 special issue: Selected papers on classification and data analysis	7
Optimal ratio for data splitting	7
Kernel learning with nonconvex ramp loss	7
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	6
Weighted AutoEncoding recommender system	6
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	5
Tracking clusters and anomalies in evolving data streams	5
	5
Issue Information	5
Variational Autoencoder With Gamma Mixture for Clustering High‐Dimensional Right‐Skewed Data	4
Rank‐Based Inference for Conditional Independence Graph With Missing Values	4
On difference‐based gradient estimation in nonparametric regression	4

Issue Information	4
Robust deep neural network surrogate models with uncertainty quantification via adversarial training	4
The analysis of association rules: Latent class analysis	3
Issue Information	3
Input‐response space‐filling designs incorporating response uncertainty	3
Bayesian inference for nonprobability samples with nonignorable missingness	3
e^RPCA: Robust Principal Component Analysis for Exponential Family Distributions	3
Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors	3
Nonparametric clustering of RNA‐sequencing data	3
An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	3
Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	3
Model‐Based Recursive Partitioning for Discrete Event Times	3
Local influence analysis for the sliced average third‐moment estimation	3
The fairness‐accuracy Pareto front	3
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	3
A tree‐based gene–environment interaction analysis with rare features	3
Extracting Genetically‐Imputed Causal Features From ECG Data	3
A finely tuned deep transfer learning algorithm to compare outsole images	3
	2
Driving mode analysis—How uncertain functional inputs propagate to an output	2
A Novel Approach for APT Detection Based on Ensemble Learning Model	2
Issue Information	2
Adversarially robust subspace learning in the spiked covariance model	2
Density estimation via measure transport: Outlook for applications in the biological sciences	2
Model Average Estimation of Parameters in Linear Model With Multiple Change Points	2
Biclustering high‐frequency financial time series based on information theory	2
Low‐Dimensional Adaptive Neural Network Regression With Directional Change Detection via Nuclear Norm Penalization	2
Issue Information	2
Recovering the Number of Clusters From a Laplacian Matrix by Nuclear Norm Penalization	2
Online Updating Composite Quantile Regression for Streaming Data	2
Semiparametric estimation of average treatment effects in observational studies	2
Data‐driven stochastic model for quantifying the interplay between amyloid‐beta and calcium levels in Alzheimer's disease	2
	2
Interaction Tests With Covariate‐Adaptive Randomization	2
Development and validation of models for two‐week mortality of inpatients with COVID‐19 infection: A large prospective cohort study	2
Cost‐sensitive classification with time constraint on incomplete data	2
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction	2
Adaptive Weighted Regularized QRGRU Algorithm and Its Application in Stock Price Prediction	2
Semiparametric detection of changepoints in location, scale, and copula	2
Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression	2