Statistical Analysis and Data Mining

Article	Citations
Issue Information	340
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Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation	22
Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization	18
A practical extension of the recursive multi‐fidelity model for the emulation of hole closure experiments	18
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Predictive models with end user preference	13
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Confidence bounds for threshold similarity graph in random variable network	9
Modeling and inference for mixtures of simple symmetric exponential families of ‐dimensional distributions for vectors with binary coordinates	9
Factor analysis for high‐dimensional time series: Consistent estimation and efficient computation	8
Regrouped design in privacy analysis for multinomial microdata	8
Analyzing relevance vector machines using a single penalty approach	8
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Adaptive boosting for ordinal target variables using neural networks	7
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Estimation of disease progression for ischemic heart disease using latent Markov with covariates	7
eRPCA: Robust Principal Component Analysis for Exponential Family Distributions	6
Marginal clustered multistate models for longitudinal progressive processes with informative cluster size	6
Randomized multiarm bandits: An improved adaptive data collection method	6
Bilateral‐WeightedOnline Adaptive Isolation Forest for anomaly detection in streaming data	5
Online learning for streaming data classification in nonstationary environments	5

Nonparametric clustering of RNA‐sequencing data	5
Evaluating causal‐based feature selection for fuel property prediction models	5
Survival trees based on heterogeneity in time‐to‐event and censoring distributions using parameter instability test	4
Application of the Cox proportional hazards model and competing risks models to critical illness insurance data	4
Buckley–Jamesestimation of generalized additive accelerated lifetime model with ultrahigh‐dimensional data	4
Data‐drivensparse partial least squares	3
Imputed quantile vector autoregressive model for multivariate spatial–temporal data	3
Rarity updated ensemble with oversampling: An ensemble approach to classification of imbalanced data streams	3
Cluster analysis via random partition distributions	3
Sketched Stochastic Dictionary Learning for large‐scale data and application to high‐throughput mass spectrometry	3
The fairness‐accuracy Pareto front	3
Subsampling under distributional constraints	3
Issue Information	3
High‐dimensional classification based on nonparametric maximum likelihood estimation under unknown and inhomogeneous variances	3
Weighted validation of heteroscedastic regression models for better selection	3
Specifying composites in structural equation modeling: A refinement of the Henseler–Ogasawara specification	3
Issue Information	3
A new logarithmic multiplicative distortion for correlation analysis	3
Machine learning and neural network based model predictions of soybean export shares from US Gulf to China	3
Sample selection bias in evaluation of prediction performance of causal models	3
Corrigendum	2
Subsampling from features in large regression to find “winning features”	2
Conformal Multi‐Target Hyperrectangles	2
Gaussian process selections in semiparametric multi‐kernel machine regression for multi‐pathway analysis	2
Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors	2
Smart data augmentation: One equation is all you need	2
The generalized hyperbolic family and automatic model selection through the multiple‐choiceLASSO	2
Two‐sample testing for random graphs	2
Assessment of the real‐time pattern recognition capability of machine learning algorithms	2
Modal linear regression models with multiplicative distortion measurement errors	2
Individualized image region detection with total variation	2
Local influence analysis for the sliced average third‐moment estimation	2
Association rules and decision rules	2
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	2
The analysis of association rules: Latent class analysis	2
Characterizing climate pathways using feature importance on echo state networks	2
Bayesian modeling of location, scale, and shape parameters in skew‐normal regression models	2
An automated alignment algorithm for identification of the source of footwear impressions with common class characteristics	1
Development and validation of models for two‐week mortality of inpatients with COVID‐19 infection: A large prospective cohort study	1
Optimal ratio for data splitting	1
Portability analysis of data mining models for fog events forecasting	1
Error‐controlled feature selection for ultrahigh‐dimensional and highly correlated feature space using deep learning	1
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A Novel Approach for APT Detection Based on Ensemble Learning Model	1
CLADAG 2021 special issue: Selected papers on classification and data analysis	1
Multi‐scale affinities with missing data: Estimation and applications	1
Issue Information	1
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BayesMultiomics: An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data	1

Unsupervised random forests	1
Coupled support tensor machine classification for multimodal neuroimaging data	1
Efficient importance sampling imputation algorithms for quantile and composite quantile regression	1
Convolutional Sparse Coding for Time Series Via a ℓ0 Penalty: An Efficient Algorithm With Statistical Guarantees	1
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Interaction Tests With Covariate‐Adaptive Randomization	1
Driving mode analysis—How uncertain functional inputs propagate to an output	1
Kernel learning with nonconvex ramp loss	1
A new parametric approach to gender gap with application to EUSILC data in Poland and Italy	1
Some Bayesian biclustering methods: Modeling and inference	1
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Issue Information	1
Model‐based clustering of time‐dependent categorical sequences with application to the analysis of major life event patterns	1
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Nonparametric Expectile Regression Meets Deep Neural Networks: A Robust Nonlinear Variable Selection method	1
Fourier neural networks as function approximators and differential equation solvers	1
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An efficientk‐modes algorithm for clustering categorical datasets	0
Simplicial depth: Characterization and reconstruction	0
A novel Bayesian method for variable selection and estimation in binary quantile regression	0
Bag of little bootstraps for massive and distributed longitudinal data	0
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Adversarially robust subspace learning in the spiked covariance model	0
On Algorithms and Approximations for Progressively Type‐I Censoring Schemes	0
Semiparametric estimation of average treatment effects in observational studies	0
Towards accelerating particle‐resolved direct numerical simulation with neural operators	0
Ensemble learning for score likelihood ratios under the common source problem	0
Coefficient tree regression for generalized linear models	0
Boosting diversity in regression ensembles	0
Frequentist model averaging for zero‐inflated Poisson regression models	0
A machine learning oracle for parameter estimation	0
Robustifying Marginal Linear Models for Correlated Responses Using a Constructive Multivariate Huber Distribution	0
Spatially‐correlated time series clustering using location‐dependent Dirichlet process mixture model	0
Hub‐aware random walk graph embedding methods for classification	0
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction	0
Comparison of merging strategies for building machine learning models on multiple independent gene expression data sets	0
Multivariate Gaussian RBF‐net for smooth function estimation and variable selection	0
An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	0
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest	0
An approach to characterizing spatial aspects of image system blur	0
Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain	0
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A modified least angle regression algorithm for interaction selection with heredity	0
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Approximation error ofFourierneural networks	0
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Power grid frequency prediction using spatiotemporal modeling	0
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	0
Ensembled sparse‐input hierarchical networks for high‐dimensional datasets	0
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Nonparametric Bayesian functional clustering with applications to racial disparities in breast cancer	0
Traditional kriging versus modern Gaussian processes for large‐scale mining data	0
Model selection with bootstrap validation	0
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	0
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Supervised compression of big data	0
An Adaptive Microbiome‐Based Truncated Test	0
A linear time method for the detection of collective and point anomalies	0
Factor analysis of mixed data for anomaly detection	0
Doubly robust estimation for non‐probability samples with modified intertwined probabilistic factors decoupling	0
Imbalanced classification: A paradigm‐based review	0
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Compositional variable selection in quantile regression for microbiome data with false discovery rate control	0
Non‐uniform active learning for Gaussian process models with applications to trajectory informed aerodynamic databases	0
Simplicial depth and its median: Selected properties and limitations	0
Neural‐networktransformation models for counting processes	0
Handwriting identification using random forests and score‐based likelihood ratios	0
On difference‐based gradient estimation in nonparametric regression	0
Feature screening of ultrahigh dimensional longitudinal data based on the C‐statistic	0
Modeling matrix variate time series via hidden Markov models with skewed emissions	0
Weighted pivot coordinates for partial least squares‐based marker discovery in high‐throughput compositional data	0
Prior effective sample size for exponential family distributions with multiple parameters	0
Share density‐based clustering of income data	0
A general iterative clustering algorithm	0
Considerations in Bayesian agent‐based modeling for the analysis of COVID‐19 data	0
Online embedding and clustering of evolving data streams	0
Robust multitask learning in high dimensions under memory constraint	0
Residual's influence index (RINFIN), bad leverage and unmasking in high dimensionalL2‐regression	0

Visual diagnostics of an explainer model: Tools for the assessment of LIME explanations	0
Revisiting Winnow: A modified online feature selection algorithm for efficient binary classification	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
Categorical classifiers in multiclass classification with imbalanced datasets	0
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Data Twinning	0
Randomized algorithms for tensor response regression	0
A treeless absolutely random forest with closed‐form estimators of expected proximities	0
Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics	0
Local support vector machine based dimension reduction	0
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Residuals and diagnostics for multinomial regression models	0
Emulated order identification for models of big time series data	0
A study of the impact of COVID‐19 on the Chinese stock market based on a new textual multiple ARMA model	0
A deep learning approach for the comparison of handwritten documents using latent feature vectors	0
An initial exploration of Bayesian model calibration for estimating the composition of rocks and soils on Mars	0
Transfer learning under the Cox model with interval‐censored 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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A finely tuned deep transfer learning algorithm to compare outsole images	0
A fast and efficient Modal EM algorithm for Gaussian mixtures	0
Precision aggregated local models	0
Negative binomial graphical model with excess zeros	0
Regression‐based Bayesian estimation and structure learning for nonparanormal graphical models	0
Using Neural Networks to Identify Mixture Components in Hyperspectral Reflectance Data	0
Semi‐supervised multi‐label learning with missing labels by exploiting feature‐label correlations	0
A tree‐based gene–environment interaction analysis with rare features	0
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Neural interval‐censored survival regression with feature selection	0
Lq regularization for fair artificial intelligence robust to covariate shift	0
Study of a bounded interval perks distribution with quantile regression analysis	0
A comparison of Gaussian processes and neural networks for computer model emulation and calibration	0
Sequential metamodel‐based approaches to level‐set estimation under heteroscedasticity	0
Tracking clusters and anomalies in evolving data streams	0
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies	0
An auxiliary Part‐of‐Speech tagger for blog and microblog cyber‐slang	0
Density estimation via measure transport: Outlook for applications in the biological sciences	0
Estimating basis functions in massive fields under the spatial mixed effects model	0
The finite mixture model for the tails of distribution: Monte Carlo experiment and empirical applications	0
Penalized composite likelihood for colored graphical Gaussian models	0
Weighted AutoEncoding recommender system	0
Node Centrality Inference via Hypothesis Testing	0
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Multi‐node Expectation–Maximization algorithm for finite mixture models	0
A neutral zone classifier for three classes with an application to text mining	0
The Classification Algorithm Based on Functional Logistic Regression Model With Spatial Effects and Its Application in Air Quality Analysis	0
Bayesian batch optimization for molybdenum versus tungsten inertial confinement fusion double shell target design	0
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Exponential calibration for correlation coefficient with additive distortion measurement errors	0
Data‐driven stochastic model for quantifying the interplay between amyloid‐beta and calcium levels in Alzheimer's disease	0
Adaptive batching for Gaussian process surrogates with application in noisy level set estimation	0
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On an Empirical Likelihood Based Solution to the Approximate Bayesian Computation Problem	0
Input‐response space‐filling designs incorporating response uncertainty	0
Bayesian inference for nonprobability samples with nonignorable missingness	0
Noise‐Augmented ℓ0 Regularization of Tensor Regression With Tucker Decomposition	0
Robust deep neural network surrogate models with uncertainty quantification via adversarial training	0
Measure inducing classification and regression trees for functional data	0
Parallel coordinate order forhigh‐dimensionaldata	0
Application of nonparametric quantifiers for online handwritten signature verification: A statistical learning approach	0
Modeling subpopulations for hierarchically structured data	0
Intuitively adaptable outlier detector	0
Biclustering high‐frequency financial time series based on information theory	0
Hierarchy‐assisted gene expression regulatory network analysis	0
Generalized mixed‐effects random forest: A flexible approach to predict university student dropout	0
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An Efficient Filtering Approach for Model Estimation in Sparse Regression	0
Distributed dimension reduction with nearly oracle rate	0
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Expert‐in‐the‐loop design of integral nuclear data experiments	0
CLADAG 2019 Special Issue: Selected Papers on Classification and Data Analysis	0
Feature selection for imbalanced data with deep sparse autoencoders ensemble	0
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A novel two‐step extrapolation‐insertion risk model based on the Expectile under the Pareto‐type distribution	0
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Greenwood Statistic Under Distortion Measurement Errors	0
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Semiparametric detection of changepoints in location, scale, and copula	0
Out‐of‐bag stability estimation for k‐means clustering	0
A random forest approach for interval selection in functional regression	0
Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data	0
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Cost‐sensitive classification with time constraint on incomplete data	0
Nonparametric mean and variance adaptive classification rule for high‐dimensional data with heteroscedastic variances	0
Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization	0
Markov chain to analyze web usability of a university website using eye tracking data	0
A tutorial on generative adversarial networks with application to classification of imbalanced data	0
Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	0
A family of mixture models for biclustering	0
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