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 2022-05-01 to 2026-05-01.)

Article	Citations
Randomized multiarm bandits: An improved adaptive data collection method	28
Deep Learning for Variable Selection in Censored Quantile Regression Models	20
Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation	20
Testing for the Important Components of Predictive Variance	18
	10
BayesMultiomics : An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data	9
Issue Information	9
CLADAG 2021 special issue: Selected papers on classification and data analysis	9
Kernel learning with nonconvex ramp loss	8
Model Averaging for Regression Kink Models	7
	7
Transfer Learning for High‐Dimensional Beta Regression Models	7
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	7
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	6
Rank‐Based Inference for Conditional Independence Graph With Missing Values	6
Testing Hypotheses of Covariate Effects on Topics of Discourse	5
An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	5
Robust Model‐Based Semi‐Supervised Clustering of Incomplete Records	5
Issue Information	5
Variational Autoencoder With Gamma Mixture for Clustering High‐Dimensional Right‐Skewed Data	5
On difference‐based gradient estimation in nonparametric regression	5
Robust and Differentially Private Principal Component Analysis	5
A finely tuned deep transfer learning algorithm to compare outsole images	4
Issue Information	4
Extracting Genetically‐Imputed Causal Features From ECG Data	4

Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	4
Model‐Based Recursive Partitioning for Discrete Event Times	4
Bayesian Dirichlet Process Copula Mixtures for Heterogeneous Multi‐Cluster Data: Methods and an NBA Player Stats Application	4
Robust deep neural network surrogate models with uncertainty quantification via adversarial training	4
Nonparametric clustering of RNA‐sequencing data	4
Bayesian inference for nonprobability samples with nonignorable missingness	4
Input‐response space‐filling designs incorporating response uncertainty	4
Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors	3
The analysis of association rules: Latent class analysis	3
Issue Information	3
Issue Information	3
e^RPCA: Robust Principal Component Analysis for Exponential Family Distributions	3
Recovering the Number of Clusters From a Laplacian Matrix by Nuclear Norm Penalization	3
Stabilizing Inference in Dirichlet Regression via Ridge‐Penalized Model	3
Driving mode analysis—How uncertain functional inputs propagate to an output	3
Transfer Learning for Linearized Maximum Rank Correlation Estimation	3
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	3
Interaction Tests With Covariate‐Adaptive Randomization	3
A Novel Approach for APT Detection Based on Ensemble Learning Model	3
Low‐Dimensional Adaptive Neural Network Regression With Directional Change Detection via Nuclear Norm Penalization	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
Semiparametric estimation of average treatment effects in observational studies	2
Constructing Cell‐Type Taxonomy by Optimal Transport With Relaxed Marginal Constraints	2
	2
Cost‐sensitive classification with time constraint on incomplete data	2
	2
Data‐driven stochastic model for quantifying the interplay between amyloid‐beta and calcium levels in Alzheimer's disease	2
Simplicial depth and its median: Selected properties and limitations	2
Density estimation via measure transport: Outlook for applications in the biological sciences	2
Online Updating Composite Quantile Regression for Streaming Data	2
Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression	2
Semiparametric detection of changepoints in location, scale, and copula	2
Model Average Estimation of Parameters in Linear Model With Multiple Change Points	2
Large Multi‐Response Linear Regression Estimation Based on Low‐Rank Pre‐Smoothing	2
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction	2
Adaptive Weighted Regularized QRGRU Algorithm and Its Application in Stock Price Prediction	2