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 2021-06-01 to 2025-06-01.)

Article	Citations
	430
Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation	27
Sample selection bias in evaluation of prediction performance of causal models	19
Data‐drivensparse partial least squares	17
Predictive models with end user preference	15
Modeling and inference for mixtures of simple symmetric exponential families of ‐dimensional distributions for vectors with binary coordinates	15
Randomized multiarm bandits: An improved adaptive data collection method	12
	12
Survival trees based on heterogeneity in time‐to‐event and censoring distributions using parameter instability test	12
Issue Information	11
Model Averaging for Regression Kink Models	10
Some Bayesian biclustering methods: Modeling and inference	9
Data Twinning	9
Kernel learning with nonconvex ramp loss	9
CLADAG 2021 special issue: Selected papers on classification and data analysis	8
BayesMultiomics: An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data	8
Optimal ratio for data splitting	7
An efficientk‐modes algorithm for clustering categorical datasets	6
Negative binomial graphical model with excess zeros	6
Multi‐node Expectation–Maximization algorithm for finite mixture models	5
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	5
Weighted AutoEncoding recommender system	5
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	5
	5
Tracking clusters and anomalies in evolving data streams	5

Issue Information	5
An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	4
A tree‐based gene–environment interaction analysis with rare features	4
Comparison of merging strategies for building machine learning models on multiple independent gene expression data sets	4
Robust deep neural network surrogate models with uncertainty quantification via adversarial training	4
Model‐Based Recursive Partitioning for Discrete Event Times	3
Issue Information	3
Bayesian inference for nonprobability samples with nonignorable missingness	3
Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	3
Input‐response space‐filling designs incorporating response uncertainty	3
A finely tuned deep transfer learning algorithm to compare outsole images	3
Nonparametric clustering of RNA‐sequencing data	3
The analysis of association rules: Latent class analysis	3
Estimating basis functions in massive fields under the spatial mixed effects model	3
	3
Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors	3
Local influence analysis for the sliced average third‐moment estimation	3
The fairness‐accuracy Pareto front	3
On difference‐based gradient estimation in nonparametric regression	3
Development and validation of models for two‐week mortality of inpatients with COVID‐19 infection: A large prospective cohort study	2
Issue Information	2
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	2
Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression	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
Data‐driven stochastic model for quantifying the interplay between amyloid‐beta and calcium levels in Alzheimer's disease	2
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction	2
Interaction Tests With Covariate‐Adaptive Randomization	2
Sketched Stochastic Dictionary Learning for large‐scale data and application to high‐throughput mass spectrometry	2
Issue Information	2
Density estimation via measure transport: Outlook for applications in the biological sciences	2
Adversarially robust subspace learning in the spiked covariance model	2
Semiparametric detection of changepoints in location, scale, and copula	2
	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
Bayesian modeling of location, scale, and shape parameters in skew‐normal regression models	2
e^RPCA: Robust Principal Component Analysis for Exponential Family Distributions	2
Biclustering high‐frequency financial time series based on information theory	2
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies	2
Simplicial depth and its median: Selected properties and limitations	2
Cost‐sensitive classification with time constraint on incomplete data	2