Statistical Analysis and Data Mining

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.)
ArticleCitations
444
Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation27
Sample selection bias in evaluation of prediction performance of causal models20
Data‐drivensparse partial least squares17
15
Predictive models with end user preference15
Randomized multiarm bandits: An improved adaptive data collection method14
Survival trees based on heterogeneity in time‐to‐event and censoring distributions using parameter instability test12
Issue Information11
Model Averaging for Regression Kink Models10
Some Bayesian biclustering methods: Modeling and inference10
Kernel learning with nonconvex ramp loss9
CLADAG 2021 special issue: Selected papers on classification and data analysis9
Data Twinning8
BayesMultiomics: An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data8
Negative binomial graphical model with excess zeros7
Optimal ratio for data splitting7
An efficientk‐modes algorithm for clustering categorical datasets6
Weighted AutoEncoding recommender system6
6
Tracking clusters and anomalies in evolving data streams5
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets5
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data5
Issue Information5
Estimating basis functions in massive fields under the spatial mixed effects model4
Rank‐Based Inference for Conditional Independence Graph With Missing Values4
A tree‐based gene–environment interaction analysis with rare features4
Comparison of merging strategies for building machine learning models on multiple independent gene expression data sets4
Robust deep neural network surrogate models with uncertainty quantification via adversarial training4
On difference‐based gradient estimation in nonparametric regression3
Variational Autoencoder With Gamma Mixture for Clustering High‐Dimensional Right‐Skewed Data3
Model‐Based Recursive Partitioning for Discrete Event Times3
Nonparametric clustering of RNA‐sequencing data3
Bayesian inference for nonprobability samples with nonignorable missingness3
Input‐response space‐filling designs incorporating response uncertainty3
Issue Information3
Local influence analysis for the sliced average third‐moment estimation3
Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors3
Issue Information3
3
Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel3
An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification3
A finely tuned deep transfer learning algorithm to compare outsole images3
The fairness‐accuracy Pareto front3
The analysis of association rules: Latent class analysis3
Biclustering high‐frequency financial time series based on information theory2
Development and validation of models for two‐week mortality of inpatients with COVID‐19 infection: A large prospective cohort study2
Sketched Stochastic Dictionary Learning for large‐scale data and application to high‐throughput mass spectrometry2
A Novel Approach for APT Detection Based on Ensemble Learning Model2
2
Data‐driven stochastic model for quantifying the interplay between amyloid‐beta and calcium levels in Alzheimer's disease2
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies2
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction2
Issue Information2
Interaction Tests With Covariate‐Adaptive Randomization2
Bayesian modeling of location, scale, and shape parameters in skew‐normal regression models2
eRPCA: Robust Principal Component Analysis for Exponential Family Distributions2
Adversarially robust subspace learning in the spiked covariance model2
Semiparametric detection of changepoints in location, scale, and copula2
Cost‐sensitive classification with time constraint on incomplete data2
Driving mode analysis—How uncertain functional inputs propagate to an output2
Issue Information2
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications2
2
Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression2
Density estimation via measure transport: Outlook for applications in the biological sciences2
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