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 2021-11-01 to 2025-11-01.)

Article	Citations
Randomized multiarm bandits: An improved adaptive data collection method	501
Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation	21
Deep Learning for Variable Selection in Censored Quantile Regression Models	20
Testing for the Important Components of Predictive Variance	17
	15
Model Averaging for Regression Kink Models	12
BayesMultiomics: An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data	10
Kernel learning with nonconvex ramp loss	9
Some Bayesian biclustering methods: Modeling and inference	9
CLADAG 2021 special issue: Selected papers on classification and data analysis	8
Data Twinning	7
	7
Optimal ratio for data splitting	7
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	7
Issue Information	7
Weighted AutoEncoding recommender system	7
Issue Information	6
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	5
Rank‐Based Inference for Conditional Independence Graph With Missing Values	5
On difference‐based gradient estimation in nonparametric regression	4
Robust deep neural network surrogate models with uncertainty quantification via adversarial training	4
Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	3
A tree‐based gene–environment interaction analysis with rare features	3
An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	3
Local influence analysis for the sliced average third‐moment estimation	3

The analysis of association rules: Latent class analysis	3
Recovering the Number of Clusters From a Laplacian Matrix by Nuclear Norm Penalization	3
Bayesian inference for nonprobability samples with nonignorable missingness	3
Input‐response space‐filling designs incorporating response uncertainty	3
Variational Autoencoder With Gamma Mixture for Clustering High‐Dimensional Right‐Skewed Data	3
A finely tuned deep transfer learning algorithm to compare outsole images	3
Nonparametric clustering of RNA‐sequencing data	3
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	3
Issue Information	3
Extracting Genetically‐Imputed Causal Features From ECG Data	3
Issue Information	3
Model‐Based Recursive Partitioning for Discrete Event Times	3
Development and validation of models for two‐week mortality of inpatients with COVID‐19 infection: A large prospective cohort study	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
Adversarially robust subspace learning in the spiked covariance model	2
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction	2
	2
Density estimation via measure transport: Outlook for applications in the biological sciences	2
Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression	2
Low‐Dimensional Adaptive Neural Network Regression With Directional Change Detection via Nuclear Norm Penalization	2
Driving mode analysis—How uncertain functional inputs propagate to an output	2
Interaction Tests With Covariate‐Adaptive Randomization	2
Online Updating Composite Quantile Regression for Streaming Data	2
Semiparametric detection of changepoints in location, scale, and copula	2
Model Average Estimation of Parameters in Linear Model With Multiple Change Points	2
Cost‐sensitive classification with time constraint on incomplete data	2
A Novel Approach for APT Detection Based on Ensemble Learning Model	2
Issue Information	2
Biclustering high‐frequency financial time series based on information theory	2
Adaptive Weighted Regularized QRGRU Algorithm and Its Application in Stock Price Prediction	2
Data‐driven stochastic model for quantifying the interplay between amyloid‐beta and calcium levels in Alzheimer's disease	2
Semiparametric estimation of average treatment effects in observational studies	2
	2
Issue Information	2