OOIR: Observatory of International Research

Papers

(The TQCC of Statistical Analysis and Data Mining is 1. 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 2021-05-01 to 2025-05-01.)

Article	Citations
	415
Predictive models with end user preference	26
Evaluating causal‐based feature selection for fuel property prediction models	15
A practical extension of the recursive multi‐fidelity model for the emulation of hole closure experiments	13
Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation	12
Modeling and inference for mixtures of simple symmetric exponential families of ‐dimensional distributions for vectors with binary coordinates	12
Data‐drivensparse partial least squares	12
Sample selection bias in evaluation of prediction performance of causal models	12
Survival trees based on heterogeneity in time‐to‐event and censoring distributions using parameter instability test	11
Randomized multiarm bandits: An improved adaptive data collection method	11
	9
CLADAG 2021 special issue: Selected papers on classification and data analysis	9
Some Bayesian biclustering methods: Modeling and inference	8
Kernel learning with nonconvex ramp loss	8
Model Averaging for Regression Kink Models	7
Data Twinning	7
Issue Information	7
BayesMultiomics: An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data	7
Optimal ratio for data splitting	6
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	5
	5
Weighted AutoEncoding recommender system	5
An efficientk‐modes algorithm for clustering categorical datasets	5
Negative binomial graphical model with excess zeros	5
Tracking clusters and anomalies in evolving data streams	4

Bayesian inference for nonprobability samples with nonignorable missingness	3
An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	3
Issue Information	3
Robust deep neural network surrogate models with uncertainty quantification via adversarial training	3
A tree‐based gene–environment interaction analysis with rare features	3
Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	3
A finely tuned deep transfer learning algorithm to compare outsole images	3
Multi‐node Expectation–Maximization algorithm for finite mixture models	3
On difference‐based gradient estimation in nonparametric regression	3
Model‐Based Recursive Partitioning for Discrete Event Times	3
	3
Bayesian modeling of location, scale, and shape parameters in skew‐normal regression models	3
Input‐response space‐filling designs incorporating response uncertainty	3
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	3
Estimating basis functions in massive fields under the spatial mixed effects model	3
Comparison of merging strategies for building machine learning models on multiple independent gene expression data sets	3
Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors	2
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	2
Local influence analysis for the sliced average third‐moment estimation	2
Issue Information	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
Issue Information	2
Sketched Stochastic Dictionary Learning for large‐scale data and application to high‐throughput mass spectrometry	2
The analysis of association rules: Latent class analysis	2
The fairness‐accuracy Pareto front	2
Interaction Tests With Covariate‐Adaptive Randomization	2
Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression	2
	2
Adversarially robust subspace learning in the spiked covariance model	2
e^RPCA: Robust Principal Component Analysis for Exponential Family Distributions	2
Issue Information	2
Nonparametric clustering of RNA‐sequencing data	2
Driving mode analysis—How uncertain functional inputs propagate to an output	2
Biclustering high‐frequency financial time series based on information theory	2
A Novel Approach for APT Detection Based on Ensemble Learning Model	2
Semiparametric estimation of average treatment effects in observational studies	1
Density estimation via measure transport: Outlook for applications in the biological sciences	1
Gaussian process selections in semiparametric multi‐kernel machine regression for multi‐pathway analysis	1
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies	1
Multi‐scale affinities with missing data: Estimation and applications	1
Estimation of disease progression for ischemic heart disease using latent Markov with covariates	1
	1
Bayesian batch optimization for molybdenum versus tungsten inertial confinement fusion double shell target design	1
Modeling matrix variate time series via hidden Markov models with skewed emissions	1
Issue Information	1
	1
A Homogeneity Test for Ordinal Receiver Operating Characteristic Regression With Application to Facial Recognition Accuracy Assessment	1
Simplicial depth and its median: Selected properties and limitations	1
Weighted pivot coordinates for partial least squares‐based marker discovery in high‐throughput compositional data	1

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	1
	1
Confidence bounds for threshold similarity graph in random variable network	1
Regrouped design in privacy analysis for multinomial microdata	1
A study of the impact of COVID‐19 on the Chinese stock market based on a new textual multiple ARMA model	1
Efficient importance sampling imputation algorithms for quantile and composite quantile regression	1
Coupled support tensor machine classification for multimodal neuroimaging data	1
A new parametric approach to gender gap with application to EUSILC data in Poland and Italy	1
Convolutional Sparse Coding for Time Series Via a ℓ0 Penalty: An Efficient Algorithm With Statistical Guarantees	1
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction	1
Data‐driven stochastic model for quantifying the interplay between amyloid‐beta and calcium levels in Alzheimer's disease	1
Semiparametric detection of changepoints in location, scale, and copula	1
High‐dimensional classification based on nonparametric maximum likelihood estimation under unknown and inhomogeneous variances	1
Weighted validation of heteroscedastic regression models for better selection	1
Corrigendum	1
Cluster analysis via random partition distributions	1
Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain	1
A family of mixture models for biclustering	1
	1
An automated alignment algorithm for identification of the source of footwear impressions with common class characteristics	1
	1