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 2021-07-01 to 2025-07-01.)

Article	Citations
	444
Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation	27
Sample selection bias in evaluation of prediction performance of causal models	20
Data‐drivensparse partial least squares	17
	15
Predictive models with end user preference	15
Randomized multiarm bandits: An improved adaptive data collection method	14
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	10
Kernel learning with nonconvex ramp loss	9
CLADAG 2021 special issue: Selected papers on classification and data analysis	9
Data Twinning	8
BayesMultiomics: An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data	8
Negative binomial graphical model with excess zeros	7
Optimal ratio for data splitting	7
An efficientk‐modes algorithm for clustering categorical datasets	6
Weighted AutoEncoding recommender system	6
	6
Tracking clusters and anomalies in evolving data streams	5
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	5
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	5
Issue Information	5
Estimating basis functions in massive fields under the spatial mixed effects model	4

Rank‐Based Inference for Conditional Independence Graph With Missing Values	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
On difference‐based gradient estimation in nonparametric regression	3
Variational Autoencoder With Gamma Mixture for Clustering High‐Dimensional Right‐Skewed Data	3
Model‐Based Recursive Partitioning for Discrete Event Times	3
Nonparametric clustering of RNA‐sequencing data	3
Bayesian inference for nonprobability samples with nonignorable missingness	3
Input‐response space‐filling designs incorporating response uncertainty	3
Issue Information	3
Local influence analysis for the sliced average third‐moment estimation	3
Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors	3
Issue Information	3
	3
Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	3
An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	3
A finely tuned deep transfer learning algorithm to compare outsole images	3
The fairness‐accuracy Pareto front	3
The analysis of association rules: Latent class analysis	3
Biclustering high‐frequency financial time series based on information theory	2
Development and validation of models for two‐week mortality of inpatients with COVID‐19 infection: A large prospective cohort study	2
Sketched Stochastic Dictionary Learning for large‐scale data and application to high‐throughput mass spectrometry	2
A Novel Approach for APT Detection Based on Ensemble Learning Model	2
	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
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction	2
Issue Information	2
Interaction Tests With Covariate‐Adaptive Randomization	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
Adversarially robust subspace learning in the spiked covariance model	2
Semiparametric detection of changepoints in location, scale, and copula	2
Cost‐sensitive classification with time constraint on incomplete data	2
Driving mode analysis—How uncertain functional inputs propagate to an output	2
Issue Information	2
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	2
	2
Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression	2
Density estimation via measure transport: Outlook for applications in the biological sciences	2