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 2021-08-01 to 2025-08-01.)

Article	Citations
	455
Sample selection bias in evaluation of prediction performance of causal models	29
Data‐drivensparse partial least squares	20
Predictive models with end user preference	18
	17
Randomized multiarm bandits: An improved adaptive data collection method	15
Survival trees based on heterogeneity in time‐to‐event and censoring distributions using parameter instability test	15
Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation	14
Some Bayesian biclustering methods: Modeling and inference	11
Issue Information	11
Kernel learning with nonconvex ramp loss	10
BayesMultiomics: An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data	9
Data Twinning	9
CLADAG 2021 special issue: Selected papers on classification and data analysis	9
Weighted AutoEncoding recommender system	7
Optimal ratio for data splitting	7
Model Averaging for Regression Kink Models	7
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	6
	6
An efficientk‐modes algorithm for clustering categorical datasets	6
Issue Information	6
Tracking clusters and anomalies in evolving data streams	5
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	5
Rank‐Based Inference for Conditional Independence Graph With Missing Values	5
Robust deep neural network surrogate models with uncertainty quantification via adversarial training	4

Variational Autoencoder With Gamma Mixture for Clustering High‐Dimensional Right‐Skewed Data	4
On difference‐based gradient estimation in nonparametric regression	4
Issue Information	4
Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	4
Nonparametric clustering of RNA‐sequencing data	3
Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors	3
A tree‐based gene–environment interaction analysis with rare features	3
	3
A finely tuned deep transfer learning algorithm to compare outsole images	3
The fairness‐accuracy Pareto front	3
Sketched Stochastic Dictionary Learning for large‐scale data and application to high‐throughput mass spectrometry	3
e^RPCA: Robust Principal Component Analysis for Exponential Family Distributions	3
Comparison of merging strategies for building machine learning models on multiple independent gene expression data sets	3
Input‐response space‐filling designs incorporating response uncertainty	3
Model‐Based Recursive Partitioning for Discrete Event Times	3
Local influence analysis for the sliced average third‐moment estimation	3
Bayesian modeling of location, scale, and shape parameters in skew‐normal regression models	3
Issue Information	3
Bayesian inference for nonprobability samples with nonignorable missingness	3
An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	3
Extracting Genetically‐Imputed Causal Features From ECG Data	3
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	3
Recovering the Number of Clusters From a Laplacian Matrix by Nuclear Norm Penalization	2
Driving mode analysis—How uncertain functional inputs propagate to an output	2
The analysis of association rules: Latent class analysis	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
Data‐driven stochastic model for quantifying the interplay between amyloid‐beta and calcium levels in Alzheimer's disease	2
Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression	2
A Novel Approach for APT Detection Based on Ensemble Learning Model	2
Development and validation of models for two‐week mortality of inpatients with COVID‐19 infection: A large prospective cohort study	2
Adversarially robust subspace learning in the spiked covariance model	2
	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
Simplicial depth and its median: Selected properties and limitations	2
Semiparametric detection of changepoints in location, scale, and copula	2
	2
Interaction Tests With Covariate‐Adaptive Randomization	2
Issue Information	2
Issue Information	2
Cost‐sensitive classification with time constraint on incomplete data	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