Statistical Analysis and Data Mining

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
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Survival trees based on heterogeneity in time‐to‐event and censoring distributions using parameter instability test	15
Randomized multiarm bandits: An improved adaptive data collection method	15
Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation	14
Issue Information	11
Some Bayesian biclustering methods: Modeling and inference	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
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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
Extracting Genetically‐Imputed Causal Features From ECG Data	3
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	3
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
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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
eRPCA: 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
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
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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
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Interaction Tests With Covariate‐Adaptive Randomization	2
Issue Information	2
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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
Corrigendum	1
A family of mixture models for biclustering	1
Estimation of disease progression for ischemic heart disease using latent Markov with covariates	1
Convolutional Sparse Coding for Time Series Via a ℓ0 Penalty: An Efficient Algorithm With Statistical Guarantees	1
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Multi‐scale affinities with missing data: Estimation and applications	1
A new parametric approach to gender gap with application to EUSILC data in Poland and Italy	1

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Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics	1
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Regression‐based Bayesian estimation and structure learning for nonparanormal graphical models	1
Cluster analysis via random partition distributions	1
Issue Information	1
Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain	1
A study of the impact of COVID‐19 on the Chinese stock market based on a new textual multiple ARMA model	1
High‐dimensional classification based on nonparametric maximum likelihood estimation under unknown and inhomogeneous variances	1
Issue Information	1
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies	1
Efficient importance sampling imputation algorithms for quantile and composite quantile regression	1
Transfer learning under the Cox model with interval‐censored data	1
A Homogeneity Test for Ordinal Receiver Operating Characteristic Regression With Application to Facial Recognition Accuracy Assessment	1
Triangulation‐Based Spatial Clustering for Adjacent Data With Heterogeneous Density	1
Semiparametric estimation of average treatment effects in observational studies	1
Share density‐based clustering of income data	1
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Modeling matrix variate time series via hidden Markov models with skewed emissions	1
Regrouped design in privacy analysis for multinomial microdata	1
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Weighted validation of heteroscedastic regression models for better selection	1
Bayesian batch optimization for molybdenum versus tungsten inertial confinement fusion double shell target design	1
Confidence bounds for threshold similarity graph in random variable network	1
An automated alignment algorithm for identification of the source of footwear impressions with common class characteristics	1
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Gaussian process selections in semiparametric multi‐kernel machine regression for multi‐pathway analysis	1
Residual's influence index (RINFIN), bad leverage and unmasking in high dimensionalL2‐regression	1
Coupled support tensor machine classification for multimodal neuroimaging data	1
Online Variable Selection and Parameter Estimation for Massive Data via Square Root Lasso	1
Issue Information	0
Correspondence Analysis From the Viewpoint of Compositional Tables	0
Ensembled sparse‐input hierarchical networks for high‐dimensional datasets	0
Detection of Unknown Functional Departure in Generalized Functional Regression	0
An Adaptive Microbiome‐Based Truncated Test	0
Issue Information	0
A machine learning oracle for parameter estimation	0
Portability analysis of data mining models for fog events forecasting	0
A neutral zone classifier for three classes with an application to text mining	0
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Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization	0
On an Empirical Likelihood Based Solution to the Approximate Bayesian Computation Problem	0
Issue Information	0
Association rules and decision rules	0
A deep learning approach for the comparison of handwritten documents using latent feature vectors	0
Factor analysis for high‐dimensional time series: Consistent estimation and efficient computation	0
Out‐of‐bag stability estimation for k‐means clustering	0
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Issue Information	0
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Study of a bounded interval perks distribution with quantile regression analysis	0
Rarity updated ensemble with oversampling: An ensemble approach to classification of imbalanced data streams	0
Stratified learning: A general‐purpose statistical method for improved learning under covariate shift	0
Imbalanced classification: A paradigm‐based review	0
Conformal Multi‐Target Hyperrectangles	0
Hub‐aware random walk graph embedding methods for classification	0
Model selection with bootstrap validation	0
A tutorial on generative adversarial networks with application to classification of imbalanced data	0
Exact Score Vector and Hessian Matrix for Mixtures of Matrix‐Variate Normals	0
Residuals and diagnostics for multinomial regression models	0
Neural interval‐censored survival regression with feature selection	0
Issue Information	0
Imputed quantile vector autoregressive model for multivariate spatial–temporal data	0
Node Centrality Inference via Hypothesis Testing	0
Compositional variable selection in quantile regression for microbiome data with false discovery rate control	0
A treeless absolutely random forest with closed‐form estimators of expected proximities	0
Semi‐supervised multi‐label learning with missing labels by exploiting feature‐label correlations	0
Machine learning and neural network based model predictions of soybean export shares from US Gulf to China	0
Issue Information	0
Ensemble learning for score likelihood ratios under the common source problem	0
Precision aggregated local models	0
Individualized image region detection with total variation	0
Frequentist model averaging for zero‐inflated Poisson regression models	0
A linear time method for the detection of collective and point anomalies	0
Issue Information	0
Multivariate Gaussian RBF‐net for smooth function estimation and variable selection	0
Analyzing relevance vector machines using a single penalty approach	0
Traditional kriging versus modern Gaussian processes for large‐scale mining data	0
Simplicial depth: Characterization and reconstruction	0

Two‐sample testing for random graphs	0
Sequential metamodel‐based approaches to level‐set estimation under heteroscedasticity	0
A modified least angle regression algorithm for interaction selection with heredity	0
Modeling subpopulations for hierarchically structured data	0
Noise‐Augmented ℓ0 Regularization of Tensor Regression With Tucker Decomposition	0
Lq regularization for fair artificial intelligence robust to covariate shift	0
The Classification Algorithm Based on Functional Logistic Regression Model With Spatial Effects and Its Application in Air Quality Analysis	0
Error‐controlled feature selection for ultrahigh‐dimensional and highly correlated feature space using deep learning	0
Prior effective sample size for exponential family distributions with multiple parameters	0
BOSTON‐PUPA: A Bayesian Online Spatio‐Temporal Outbreak Detection Framework With Prior Updating and p‐Value Adaptation	0
Computational Improvements to the Kernel k$$ k $$‐Means Clustering Algorithm	0
Boosting diversity in regression ensembles	0
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Factor analysis of mixed data for anomaly detection	0
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A new logarithmic multiplicative distortion for correlation analysis	0
Issue Information	0
Nonparametric mean and variance adaptive classification rule for high‐dimensional data with heteroscedastic variances	0
A random forest approach for interval selection in functional regression	0
Online embedding and clustering of evolving data streams	0
Bilateral‐WeightedOnline Adaptive Isolation Forest for anomaly detection in streaming data	0
Variable Selection in Nonparametric Additive Models via Data Splitting	0
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Distributed dimension reduction with nearly oracle rate	0
Nonparametric Bayesian functional clustering with applications to racial disparities in breast cancer	0
Categorical classifiers in multiclass classification with imbalanced datasets	0
The finite mixture model for the tails of distribution: Monte Carlo experiment and empirical applications	0
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Bag of little bootstraps for massive and distributed longitudinal data	0
Robust multitask learning in high dimensions under memory constraint	0
Considerations in Bayesian agent‐based modeling for the analysis of COVID‐19 data	0
The generalized hyperbolic family and automatic model selection through the multiple‐choiceLASSO	0
Revisiting Winnow: A modified online feature selection algorithm for efficient binary classification	0
Expert‐in‐the‐loop design of integral nuclear data experiments	0
A general iterative clustering algorithm	0
Randomized algorithms for tensor response regression	0
Buckley–Jamesestimation of generalized additive accelerated lifetime model with ultrahigh‐dimensional data	0
Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data	0
A novel Bayesian method for variable selection and estimation in binary quantile regression	0
Parallel coordinate order forhigh‐dimensionaldata	0
An Efficient Filtering Approach for Model Estimation in Sparse Regression	0
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest	0
Assessment of the real‐time pattern recognition capability of machine learning algorithms	0
Intuitively adaptable outlier detector	0
Robustifying Marginal Linear Models for Correlated Responses Using a Constructive Multivariate Huber Distribution	0
Adaptive boosting for ordinal target variables using neural networks	0
Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization	0
Score Tests for Overdispersion in Marginalized Zero‐Inflated Poisson Regression Based on Marginalized Zero‐Inflated Generalized Poisson Model	0
Statistical Shape Analysis of Human Bodies	0
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Feature screening of ultrahigh dimensional longitudinal data based on the C‐statistic	0
Marginal clustered multistate models for longitudinal progressive processes with informative cluster size	0
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Nonparametric Expectile Regression Meets Deep Neural Networks: A Robust Nonlinear Variable Selection method	0
Application of nonparametric quantifiers for online handwritten signature verification: A statistical learning approach	0
An auxiliary Part‐of‐Speech tagger for blog and microblog cyber‐slang	0
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Adaptive batching for Gaussian process surrogates with application in noisy level set estimation	0
Measure inducing classification and regression trees for functional data	0
Subsampling under distributional constraints	0
Deep Symbolic Learning for Histogram‐Valued Regression Data	0
A novel two‐step extrapolation‐insertion risk model based on the Expectile under the Pareto‐type distribution	0
Online learning for streaming data classification in nonstationary environments	0
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Identifying Nuclear Data Correlated Through Predicting Bias in Integral Experiments via Applying Principal Component Analysis to Random Forest	0
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Feature selection for imbalanced data with deep sparse autoencoders ensemble	0
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Characterizing climate pathways using feature importance on echo state networks	0
Non‐uniform active learning for Gaussian process models with applications to trajectory informed aerodynamic databases	0
Greenwood Statistic Under Distortion Measurement Errors	0
Spatially‐correlated time series clustering using location‐dependent Dirichlet process mixture model	0
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On Algorithms and Approximations for Progressively Type‐I Censoring Schemes	0
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Modal linear regression models with multiplicative distortion measurement errors	0
Smart data augmentation: One equation is all you need	0
Specifying composites in structural equation modeling: A refinement of the Henseler–Ogasawara specification	0
Using Neural Networks to Identify Mixture Components in Hyperspectral Reflectance Data	0
Towards accelerating particle‐resolved direct numerical simulation with neural operators	0
Doubly robust estimation for non‐probability samples with modified intertwined probabilistic factors decoupling	0
Local support vector machine based dimension reduction	0
Issue Information	0
Neural‐networktransformation models for counting processes	0
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Handwriting identification using random forests and score‐based likelihood ratios	0
Hierarchy‐assisted gene expression regulatory network analysis	0