Statistical Analysis and Data Mining

Article	Citations
Optimal ratio for data splitting	292
Generalized mixed‐effects random forest: A flexible approach to predict university student dropout	28
Unsupervised random forests	22
Supervised compression of big data	18
Imbalanced classification: A paradigm‐based review	18
Modal linear regression models with multiplicative distortion measurement errors	15
Data Twinning	13
An efficientk‐modes algorithm for clustering categorical datasets	12
A linear time method for the detection of collective and point anomalies	12
Fourier neural networks as function approximators and differential equation solvers	11
The fairness‐accuracy Pareto front	9
Exponential calibration for correlation coefficient with additive distortion measurement errors	9
Measure inducing classification and regression trees for functional data	9
A comparison of Gaussian processes and neural networks for computer model emulation and calibration	8
Markov chain to analyze web usability of a university website using eye tracking data	8
Weighted pivot coordinates for partial least squares‐based marker discovery in high‐throughput compositional data	8
Power grid frequency prediction using spatiotemporal modeling	7
A tutorial on generative adversarial networks with application to classification of imbalanced data	7
Handwriting identification using random forests and score‐based likelihood ratios	7
Visual diagnostics of an explainer model: Tools for the assessment of LIME explanations	7
A clustering method for graphical handwriting components and statistical writership analysis	7
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest	6
Survival trees based on heterogeneity in time‐to‐event and censoring distributions using parameter instability test	6
A framework for stability‐based module detection in correlation graphs	6
Specifying composites in structural equation modeling: A refinement of the Henseler–Ogasawara specification	6

An adaptive nonparametric exponentially weighted moving average control chart with dynamic sampling intervals	6
Feature selection for imbalanced data with deep sparse autoencoders ensemble	5
A fast and efficient Modal EM algorithm for Gaussian mixtures	5
Extreme ensemble of extreme learning machines	5
Tracking clusters and anomalies in evolving data streams	5
Traditional kriging versus modern Gaussian processes for large‐scale mining data	4
Parallel coordinate order forhigh‐dimensionaldata	4
A study of the impact of COVID‐19 on the Chinese stock market based on a new textual multiple ARMA model	4
Precision aggregated local models	4
Sample selection bias in evaluation of prediction performance of causal models	3
Online embedding and clustering of evolving data streams	3
Learning compact physics‐aware delayed photocurrent models using dynamic mode decomposition	3
An approach to characterizing spatial aspects of image system blur	3
Buckley–Jamesestimation of generalized additive accelerated lifetime model with ultrahigh‐dimensional data	3
A general iterative clustering algorithm	3
Coefficient tree regression for generalized linear models	3
Intuitively adaptable outlier detector	3
Factor analysis of mixed data for anomaly detection	3
Machine learning and neural network based model predictions of soybean export shares from US Gulf to China	3
Adaptive batching for Gaussian process surrogates with application in noisy level set estimation	3
A tree‐based gene–environment interaction analysis with rare features	3
Ensembled sparse‐input hierarchical networks for high‐dimensional datasets	3
Model‐based clustering of time‐dependent categorical sequences with application to the analysis of major life event patterns	3
Simplicial depth and its median: Selected properties and limitations	2
Comparison of merging strategies for building machine learning models on multiple independent gene expression data sets	2
Frequentist model averaging for zero‐inflated Poisson regression models	2
Negative binomial graphical model with excess zeros	2
Coupled support tensor machine classification for multimodal neuroimaging data	2
Cluster analysis via random partition distributions	2
Evaluating causal‐based feature selection for fuel property prediction models	2
Penalized composite likelihood for colored graphical Gaussian models	2
Local support vector machine based dimension reduction	2
Residuals and diagnostics for multinomial regression models	2
A family of mixture models for biclustering	2
Sketched Stochastic Dictionary Learning for large‐scale data and application to high‐throughput mass spectrometry	2
Estimation of disease progression for ischemic heart disease using latent Markov with covariates	2
Ensemble learning for score likelihood ratios under the common source problem	2
Emulated order identification for models of big time series data	2
Comparison of machine learning approaches used to identify the drivers of Bakken oil well productivity	2
Next waves in veridical network embedding*	2
Bilateral‐WeightedOnline Adaptive Isolation Forest for anomaly detection in streaming data	2
Data‐drivensparse partial least squares	2
Stratified learning: A general‐purpose statistical method for improved learning under covariate shift	1
A note on marginal correlation based screening	1
Understanding the merits of winning data competition solutions for varied sets of objectives	1
Multi‐node Expectation–Maximization algorithm for finite mixture models	1
Out‐of‐bag stability estimation for k‐means clustering	1
Learning network event sequences using long short‐term memory and second‐order statistic loss	1
Portability analysis of data mining models for fog events forecasting	1
A new parametric approach to gender gap with application to EUSILC data in Poland and Italy	1

Adaptive boosting for ordinal target variables using neural networks	1
Analyzing relevance vector machines using a single penalty approach	1
Confidence bounds for threshold similarity graph in random variable network	1
A novel Bayesian method for variable selection and estimation in binary quantile regression	1
On difference‐based gradient estimation in nonparametric regression	1
Semi‐supervised multi‐label learning with missing labels by exploiting feature‐label correlations	1
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Considerations in Bayesian agent‐based modeling for the analysis of COVID‐19 data	1
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Kernel learning with nonconvex ramp loss	1
High‐dimensional classification based on nonparametric maximum likelihood estimation under unknown and inhomogeneous variances	1
Predictive models with end user preference	1
A practical extension of the recursive multi‐fidelity model for the emulation of hole closure experiments	1
A random forest approach for interval selection in functional regression	1
Boosting diversity in regression ensembles	1
Model selection with bootstrap validation	1
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Expert‐in‐the‐loop design of integral nuclear data experiments	1
Weighted AutoEncoding recommender system	1
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Development and validation of models for two‐week mortality of inpatients with COVID‐19 infection: A large prospective cohort study	1
Issue Information	1
Factor analysis for high‐dimensional time series: Consistent estimation and efficient computation	1
Nonparametric clustering of RNA‐sequencing data	1
Conformal Multi‐Target Hyperrectangles	0
Randomized multiarm bandits: An improved adaptive data collection method	0
Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	0
A neutral zone classifier for three classes with an application to text mining	0
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Simplicial depth: Characterization and reconstruction	0
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Application of the Cox proportional hazards model and competing risks models to critical illness insurance data	0
Spatially‐correlated time series clustering using location‐dependent Dirichlet process mixture model	0
Modeling matrix variate time series via hidden Markov models with skewed emissions	0
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Gaussian process selections in semiparametric multi‐kernel machine regression for multi‐pathway analysis	0
Robust deep neural network surrogate models with uncertainty quantification via adversarial training	0
Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data	0
Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization	0
Individualized image region detection with total variation	0
Neural interval‐censored survival regression with feature selection	0
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Two‐sample testing for random graphs	0
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A finely tuned deep transfer learning algorithm to compare outsole images	0
Study of a bounded interval perks distribution with quantile regression analysis	0
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Rarity updated ensemble with oversampling: An ensemble approach to classification of imbalanced data streams	0
Doubly robust estimation for non‐probability samples with modified intertwined probabilistic factors decoupling	0
Estimating basis functions in massive fields under the spatial mixed effects model	0
Driving mode analysis—How uncertain functional inputs propagate to an output	0
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Online learning for streaming data classification in nonstationary environments	0
Semiparametric estimation of average treatment effects in observational studies	0
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Categorical classifiers in multiclass classification with imbalanced datasets	0
Efficient importance sampling imputation algorithms for quantile and composite quantile regression	0
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Bayesian inference for nonprobability samples with nonignorable missingness	0
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A modified least angle regression algorithm for interaction selection with heredity	0
Association rules and decision rules	0
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Hub‐aware random walk graph embedding methods for classification	0
Sequential metamodel‐based approaches to level‐set estimation under heteroscedasticity	0
Residual's influence index (RINFIN), bad leverage and unmasking in high dimensionalL2‐regression	0
The generalized hyperbolic family and automatic model selection through the multiple‐choiceLASSO	0
Issue Information	0
Hierarchy‐assisted gene expression regulatory network analysis	0
Multivariate Gaussian RBF‐net for smooth function estimation and variable selection	0
Towards accelerating particle‐resolved direct numerical simulation with neural operators	0
Smart data augmentation: One equation is all you need	0
An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	0
Biclustering high‐frequency financial time series based on information theory	0
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A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	0

Data‐driven stochastic model for quantifying the interplay between amyloid‐beta and calcium levels in Alzheimer's disease	0
Compositional variable selection in quantile regression for microbiome data with false discovery rate control	0
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Corrigendum	0
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An auxiliary Part‐of‐Speech tagger for blog and microblog cyber‐slang	0
Regression‐based Bayesian estimation and structure learning for nonparanormal graphical models	0
The analysis of association rules: Latent class analysis	0
A machine learning oracle for parameter estimation	0
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Lq regularization for fair artificial intelligence robust to covariate shift	0
Non‐uniform active learning for Gaussian process models with applications to trajectory informed aerodynamic databases	0
Regrouped design in privacy analysis for multinomial microdata	0
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Feature screening of ultrahigh dimensional longitudinal data based on the C‐statistic	0
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An Efficient Filtering Approach for Model Estimation in Sparse Regression	0
A novel two‐step extrapolation‐insertion risk model based on the Expectile under the Pareto‐type distribution	0
Error‐controlled feature selection for ultrahigh‐dimensional and highly correlated feature space using deep learning	0
Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors	0
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	0
Randomized algorithms for tensor response regression	0
Some Bayesian biclustering methods: Modeling and inference	0
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Prior effective sample size for exponential family distributions with multiple parameters	0
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Characterizing climate pathways using feature importance on echo state networks	0
Robust multitask learning in high dimensions under memory constraint	0
Bag of little bootstraps for massive and distributed longitudinal data	0
Modeling subpopulations for hierarchically structured data	0
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Issue Information	0
A deep learning approach for the comparison of handwritten documents using latent feature vectors	0
Approximation error ofFourierneural networks	0
Distributed dimension reduction with nearly oracle rate	0
A network model that combines latent factors and sparse graphs	0
Modeling and inference for mixtures of simple symmetric exponential families of ‐dimensional distributions for vectors with binary coordinates	0
Application of nonparametric quantifiers for online handwritten signature verification: A statistical learning approach	0
Nonparametric mean and variance adaptive classification rule for high‐dimensional data with heteroscedastic variances	0
An initial exploration of Bayesian model calibration for estimating the composition of rocks and soils on Mars	0
Bayesian modeling of location, scale, and shape parameters in skew‐normal regression models	0
Marginal clustered multistate models for longitudinal progressive processes with informative cluster size	0
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Cost‐sensitive classification with time constraint on incomplete data	0
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Node Centrality Inference via Hypothesis Testing	0
Erratum to “Data‐driven dimension reduction in functional principal component analysis identifying the change‐point in functional data”	0
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Weighted validation of heteroscedastic regression models for better selection	0
Input‐response space‐filling designs incorporating response uncertainty	0
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	0
CLADAG 2019 Special Issue: Selected Papers on Classification and Data Analysis	0
Local influence analysis for the sliced average third‐moment estimation	0
Transfer learning under the Cox model with interval‐censored data	0
Adversarially robust subspace learning in the spiked covariance model	0
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Assessment of the real‐time pattern recognition capability of machine learning algorithms	0
On an Empirical Likelihood Based Solution to the Approximate Bayesian Computation Problem	0
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The finite mixture model for the tails of distribution: Monte Carlo experiment and empirical applications	0
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Revisiting Winnow: A modified online feature selection algorithm for efficient binary classification	0
Subsampling from features in large regression to find “winning features”	0
Share density‐based clustering of income data	0
Subsampling under distributional constraints	0
Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain	0
Semiparametric detection of changepoints in location, scale, and copula	0
CLADAG 2021 special issue: Selected papers on classification and data analysis	0
Imputed quantile vector autoregressive model for multivariate spatial–temporal data	0
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Density estimation via measure transport: Outlook for applications in the biological sciences	0
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eRPCA: Robust Principal Component Analysis for Exponential Family Distributions	0
Bayesian batch optimization for molybdenum versus tungsten inertial confinement fusion double shell target design	0
An automated alignment algorithm for identification of the source of footwear impressions with common class characteristics	0
A new logarithmic multiplicative distortion for correlation analysis	0
Nonparametric Bayesian functional clustering with applications to racial disparities in breast cancer	0
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Multi‐scale affinities with missing data: Estimation and applications	0
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A treeless absolutely random forest with closed‐form estimators of expected proximities	0
Neural‐networktransformation models for counting processes	0
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	0
Retracted: Multi‐model penalized regression	0
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Identifying build orientation of 3D‐printed materials using convolutional neural networks	0