Statistical Analysis and Data Mining

Article	Citations
Optimal ratio for data splitting	173
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics	61
Generalized mixed‐effects random forest: A flexible approach to predict university student dropout	23
Unsupervised random forests	17
Supervised compression of big data	17
Multiclass machine learning classification of functional brain images for Parkinson's disease stage prediction	16
Modal linear regression models with multiplicative distortion measurement errors	13
Imbalanced classification: A paradigm‐based review	13
Data Twinning	12
Fourier neural networks as function approximators and differential equation solvers	10
A linear time method for the detection of collective and point anomalies	10
Two‐stage hybrid learning techniques for bankruptcy prediction*	10
Exponential calibration for correlation coefficient with additive distortion measurement errors	9
Delaunay triangulation‐based spatial colocation pattern mining without distance thresholds	9
An efficient k‐modes algorithm for clustering categorical datasets	8
Multivariate Hidden Markov Models for disease progression	8
Weighted k‐nearest neighbor based data complexity metrics for imbalanced datasets	8
A comparison of Gaussian processes and neural networks for computer model emulation and calibration	8
Measure inducing classification and regression trees for functional data	7
Weighted pivot coordinates for partial least squares‐based marker discovery in high‐throughput compositional data	7
A clustering method for graphical handwriting components and statistical writership analysis	7
Power grid frequency prediction using spatiotemporal modeling	7
Handwriting identification using random forests and score‐based likelihood ratios	6
The fairness‐accuracy Pareto front	6
A machine learning method for selection of genetic variants to increase prediction accuracy of type 2 diabetes mellitus using sequencing data	5

A framework for stability‐based module detection in correlation graphs	5
Visual diagnostics of an explainer model: Tools for the assessment of LIME explanations	5
Use of data mining in a two‐step process of profiling student preferences in relation to the enhancement of English as a foreign language teaching	5
A tutorial on generative adversarial networks with application to classification of imbalanced data	5
Markov chain to analyze web usability of a university website using eye tracking data	5
An analytical toast to wine: Using stacked generalization to predict wine preference	5
An adaptive nonparametric exponentially weighted moving average control chart with dynamic sampling intervals	5
MR plot: A big data tool for distinguishing distributions	4
Feature selection for imbalanced data with deep sparse autoencoders ensemble	4
The next wave: We will all be data scientists	4
Precision aggregated local models	4
Tracking clusters and anomalies in evolving data streams	4
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest	4
Extreme ensemble of extreme learning machines	4
A fast and efficient Modal EM algorithm for Gaussian mixtures	4
Parallel coordinate order for high‐dimensional data	3
Intuitively adaptable outlier detector	3
Knot selection in sparse Gaussian processes with a variational objective function	3
Survival trees based on heterogeneity in time‐to‐event and censoring distributions using parameter instability test	3
Learning compact physics‐aware delayed photocurrent models using dynamic mode decomposition	3
Traditional kriging versus modern Gaussian processes for large‐scale mining data	3
Factor analysis of mixed data for anomaly detection	3
Specifying composites in structural equation modeling: A refinement of the Henseler–Ogasawara specification	3
Ensembled sparse‐input hierarchical networks for high‐dimensional datasets	3
A tree‐based gene–environment interaction analysis with rare features	3
An approach to characterizing spatial aspects of image system blur	3
Model‐based clustering of time‐dependent categorical sequences with application to the analysis of major life event patterns	3
Classification of high‐dimensional electroencephalography data with location selection using structured spike‐and‐slab prior	2
Online embedding and clustering of evolving data streams	2
Frequentist model averaging for zero‐inflated Poisson regression models	2
Negative binomial graphical model with excess zeros	2
Sketched Stochastic Dictionary Learning for large‐scale data and application to high‐throughput mass spectrometry	2
Evaluating causal‐based feature selection for fuel property prediction models	2
Penalized composite likelihood for colored graphical Gaussian models	2
Adaptive batching for Gaussian process surrogates with application in noisy level set estimation	2
The future of precision health is data‐driven decision support	2
Coefficient tree regression for generalized linear models	2
SURE estimates for high dimensional classification	2
Cluster analysis via random partition distributions	2
Clover plot: Versatile visualization in nonparametric classification*	2
Minimizing information loss in shared data: Hiding frequent patterns with multiple sensitive support thresholds	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
Sample selection bias in evaluation of prediction performance of causal models	2
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Buckley–James estimation of generalized additive accelerated lifetime model with ultrahigh‐dimensional data	1
Factor analysis for high‐dimensional time series: Consistent estimation and efficient computation	1
Predictive models with end user preference	1
Boosting diversity in regression ensembles	1

A practical extension of the recursive multi‐fidelity model for the emulation of hole closure experiments	1
Simplicial depth and its median: Selected properties and limitations	1
Local support vector machine based dimension reduction	1
Comparison of merging strategies for building machine learning models on multiple independent gene expression data sets	1
Scalable network estimation with L0 penalty	1
Weighted AutoEncoding recommender system	1
Coupled support tensor machine classification for multimodal neuroimaging data	1
Data‐driven dimension reduction in functional principal component analysis identifying the change‐point in functional data	1
Kernel learning with nonconvex ramp loss	1
Bilateral‐Weighted Online Adaptive Isolation Forest for anomaly detection in streaming data	1
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Estimation of disease progression for ischemic heart disease using latent Markov with covariates	1
Ensemble learning for score likelihood ratios under the common source problem	1
Machine learning and neural network based model predictions of soybean export shares from US Gulf to China	1
Complementary dimension reduction	1
Objective identification of local spatial structure for material characterization	1
On difference‐based gradient estimation in nonparametric regression	1
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A family of mixture models for biclustering	1
A new parametric approach to gender gap with application to EUSILC data in Poland and Italy	1
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Nonparametric clustering of RNA‐sequencing data	1
Data‐driven sparse partial least squares	1
Analyzing relevance vector machines using a single penalty approach	1
A novel Bayesian method for variable selection and estimation in binary quantile regression	1
Confidence bounds for threshold similarity graph in random variable network	1
A general iterative clustering algorithm	1
Understanding the merits of winning data competition solutions for varied sets of objectives	1
Model selection with bootstrap validation	1
Multi‐node Expectation–Maximization algorithm for finite mixture models	1
Learning network event sequences using long short‐term memory and second‐order statistic loss	1
A study of the impact of COVID‐19 on the Chinese stock market based on a new textual multiple ARMA model	1
Development and validation of models for two‐week mortality of inpatients with COVID‐19 infection: A large prospective cohort study	1
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	0
Semi‐supervised multi‐label learning with missing labels by exploiting feature‐label correlations	0
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Weighted linear programming discriminant analysis for high‐dimensional binary classification	0
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Feature screening of ultrahigh dimensional longitudinal data based on the C‐statistic	0
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Modeling and inference for mixtures of simple symmetric exponential families of ‐dimensional distributions for vectors with binary coordinates	0
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Composite quantile‐based classifiers	0
Association rules and decision rules	0
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Modeling matrix variate time series via hidden Markov models with skewed emissions	0
Online learning for streaming data classification in nonstationary environments	0
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Simplicial depth: Characterization and reconstruction	0
Neural‐network transformation models for counting processes	0
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Stratified learning: A general‐purpose statistical method for improved learning under covariate shift	0
The finite mixture model for the tails of distribution: Monte Carlo experiment and empirical applications	0
An auxiliary Part‐of‐Speech tagger for blog and microblog cyber‐slang	0
High‐dimensional classification based on nonparametric maximum likelihood estimation under unknown and inhomogeneous variances	0
Nonparametric Bayesian functional clustering with applications to racial disparities in breast cancer	0
Biclustering high‐frequency financial time series based on information theory	0
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Doubly robust estimation for non‐probability samples with modified intertwined probabilistic factors decoupling	0
Residual's influence index (RINFIN), bad leverage and unmasking in high dimensional L2‐regression	0
Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data	0
Rarity updated ensemble with oversampling: An ensemble approach to classification of imbalanced data streams	0
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Driving mode analysis—How uncertain functional inputs propagate to an output	0
Adaptive boosting for ordinal target variables using neural networks	0
Application of nonparametric quantifiers for online handwritten signature verification: A statistical learning approach	0
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Error‐controlled feature selection for ultrahigh‐dimensional and highly correlated feature space using deep learning	0
Local influence analysis for the sliced average third‐moment estimation	0
Input‐response space‐filling designs incorporating response uncertainty	0
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Estimating basis functions in massive fields under the spatial mixed effects model	0
A modified least angle regression algorithm for interaction selection with heredity	0
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Robust deep neural network surrogate models with uncertainty quantification via adversarial training	0
Share density‐based clustering of income data	0
Efficient importance sampling imputation algorithms for quantile and composite quantile regression	0
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Bag of little bootstraps for massive and distributed longitudinal data	0
Multi‐scale affinities with missing data: Estimation and applications	0
Application of the Cox proportional hazards model and competing risks models to critical illness insurance data	0
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Distributed dimension reduction with nearly oracle rate	0
Expert‐in‐the‐loop design of integral nuclear data experiments	0
A network model that combines latent factors and sparse graphs	0
Study of a bounded interval perks distribution with quantile regression analysis	0
Considerations in Bayesian agent‐based modeling for the analysis of COVID‐19 data	0
Smart data augmentation: One equation is all you need	0
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Categorical classifiers in multiclass classification with imbalanced datasets	0
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eRPCA: Robust Principal Component Analysis for Exponential Family Distributions	0
Bayesian inference for nonprobability samples with nonignorable missingness	0
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Regrouped design in privacy analysis for multinomial microdata	0
Hierarchy‐assisted gene expression regulatory network analysis	0
Modeling subpopulations for hierarchically structured data	0
Erratum to “Data‐driven dimension reduction in functional principal component analysis identifying the change‐point in functional data”	0
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An initial exploration of Bayesian model calibration for estimating the composition of rocks and soils on Mars	0
Lq regularization for fair artificial intelligence robust to covariate shift	0
Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors	0
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Weighted validation of heteroscedastic regression models for better selection	0
A novel two‐step extrapolation‐insertion risk model based on the Expectile under the Pareto‐type distribution	0
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CLADAG 2021 special issue: Selected papers on classification and data analysis	0
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Spatially‐correlated time series clustering using location‐dependent Dirichlet process mixture model	0
Integrative learning of structured high‐dimensional data from multiple datasets	0
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Randomized algorithms for tensor response regression	0
Regression‐based Bayesian estimation and structure learning for nonparanormal graphical models	0
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Portability analysis of data mining models for fog events forecasting	0
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A note on marginal correlation based screening	0
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Subsampling from features in large regression to find “winning features”	0
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An Improved D2GAN‐based oversampling algorithm for imbalanced data classification	0
Compositional variable selection in quantile regression for microbiome data with false discovery rate control	0
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Retracted: Multi‐model penalized regression	0
Hub‐aware random walk graph embedding methods for classification	0
Semiparametric detection of changepoints in location, scale, and copula	0
Multivariate Gaussian RBF‐net for smooth function estimation and variable selection	0
The generalized hyperbolic family and automatic model selection through the multiple‐choice LASSO	0
A machine learning oracle for parameter estimation	0
Non‐uniform active learning for Gaussian process models with applications to trajectory informed aerodynamic databases	0
A neutral zone classifier for three classes with an application to text mining	0
Marginal clustered multistate models for longitudinal progressive processes with informative cluster size	0
A deep learning approach for the comparison of handwritten documents using latent feature vectors	0
Adversarially robust subspace learning in the spiked covariance model	0
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Residuals and diagnostics for multinomial regression models	0
Approximation error of Fourier neural networks	0
Subsampling under distributional constraints	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
Identifying build orientation of 3D‐printed materials using convolutional neural networks	0
Out‐of‐bag stability estimation for k‐means clustering	0
Imputed quantile vector autoregressive model for multivariate spatial–temporal data	0
A finely tuned deep transfer learning algorithm to compare outsole images	0
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An automated alignment algorithm for identification of the source of footwear impressions with common class characteristics	0
Bayesian modeling of location, scale, and shape parameters in skew‐normal regression models	0
Multivariate contaminated normal mixture regression modeling of longitudinal data based on joint mean‐covariance model	0
CLADAG 2019 Special Issue: Selected Papers on Classification and Data Analysis	0
Some Bayesian biclustering methods: Modeling and inference	0
Corrigendum	0
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