Statistical Analysis and Data Mining

Article	Citations
Issue Information	401
	26
Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation	23
Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization	15
A practical extension of the recursive multi‐fidelity model for the emulation of hole closure experiments	13
Predictive models with end user preference	12
Issue Information	12
	11
	11
Issue Information	9
Modeling and inference for mixtures of simple symmetric exponential families of ‐dimensional distributions for vectors with binary coordinates	9
Analyzing relevance vector machines using a single penalty approach	8
Issue Information	8
Factor analysis for high‐dimensional time series: Consistent estimation and efficient computation	7
	7
Regrouped design in privacy analysis for multinomial microdata	7
	7
Estimation of disease progression for ischemic heart disease using latent Markov with covariates	6
Adaptive boosting for ordinal target variables using neural networks	6
eRPCA: Robust Principal Component Analysis for Exponential Family Distributions	6
Evaluating causal‐based feature selection for fuel property prediction models	5
Randomized multiarm bandits: An improved adaptive data collection method	5
Online learning for streaming data classification in nonstationary environments	5
Marginal clustered multistate models for longitudinal progressive processes with informative cluster size	5
Nonparametric clustering of RNA‐sequencing data	4

Bilateral‐WeightedOnline Adaptive Isolation Forest for anomaly detection in streaming data	4
Issue Information	3
Sample selection bias in evaluation of prediction performance of causal models	3
Survival trees based on heterogeneity in time‐to‐event and censoring distributions using parameter instability test	3
Local influence analysis for the sliced average third‐moment estimation	3
A new logarithmic multiplicative distortion for correlation analysis	3
Sketched Stochastic Dictionary Learning for large‐scale data and application to high‐throughput mass spectrometry	3
Issue Information	3
Imputed quantile vector autoregressive model for multivariate spatial–temporal data	3
Data‐drivensparse partial least squares	3
Specifying composites in structural equation modeling: A refinement of the Henseler–Ogasawara specification	3
Rarity updated ensemble with oversampling: An ensemble approach to classification of imbalanced data streams	3
Weighted validation of heteroscedastic regression models for better selection	3
Application of the Cox proportional hazards model and competing risks models to critical illness insurance data	3
Buckley–Jamesestimation of generalized additive accelerated lifetime model with ultrahigh‐dimensional data	3
Subsampling under distributional constraints	3
High‐dimensional classification based on nonparametric maximum likelihood estimation under unknown and inhomogeneous variances	2
Gaussian process selections in semiparametric multi‐kernel machine regression for multi‐pathway analysis	2
Conformal Multi‐Target Hyperrectangles	2
Smart data augmentation: One equation is all you need	2
The fairness‐accuracy Pareto front	2
Bayesian modeling of location, scale, and shape parameters in skew‐normal regression models	2
Individualized image region detection with total variation	2
Assessment of the real‐time pattern recognition capability of machine learning algorithms	2
Modal linear regression models with multiplicative distortion measurement errors	2
Corrigendum	2
The generalized hyperbolic family and automatic model selection through the multiple‐choiceLASSO	2
Confidence bounds for threshold similarity graph in random variable network	2
Machine learning and neural network based model predictions of soybean export shares from US Gulf to China	2
The analysis of association rules: Latent class analysis	2
Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors	2
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	2
Characterizing climate pathways using feature importance on echo state networks	2
Cluster analysis via random partition distributions	2
Driving mode analysis—How uncertain functional inputs propagate to an output	1
Issue Information	1
Detection of Unknown Functional Departure in Generalized Functional Regression	1
	1
An automated alignment algorithm for identification of the source of footwear impressions with common class characteristics	1
Portability analysis of data mining models for fog events forecasting	1
Efficient importance sampling imputation algorithms for quantile and composite quantile regression	1
	1
Issue Information	1
Measure inducing classification and regression trees for functional data	1
Coupled support tensor machine classification for multimodal neuroimaging data	1
Some Bayesian biclustering methods: Modeling and inference	1
Issue Information	1
BayesMultiomics: An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data	1
Robustifying Marginal Linear Models for Correlated Responses Using a Constructive Multivariate Huber Distribution	1
Multi‐scale affinities with missing data: Estimation and applications	1

Two‐sample testing for random graphs	1
A new parametric approach to gender gap with application to EUSILC data in Poland and Italy	1
Issue Information	1
Nonparametric Expectile Regression Meets Deep Neural Networks: A Robust Nonlinear Variable Selection method	1
	1
CLADAG 2021 special issue: Selected papers on classification and data analysis	1
Development and validation of models for two‐week mortality of inpatients with COVID‐19 infection: A large prospective cohort study	1
A Novel Approach for APT Detection Based on Ensemble Learning Model	1
	1
Interaction Tests With Covariate‐Adaptive Randomization	1
Fourier neural networks as function approximators and differential equation solvers	1
Kernel learning with nonconvex ramp loss	1
Error‐controlled feature selection for ultrahigh‐dimensional and highly correlated feature space using deep learning	1
Association rules and decision rules	1
Data Twinning	1
Convolutional Sparse Coding for Time Series Via a ℓ0 Penalty: An Efficient Algorithm With Statistical Guarantees	1
An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	0
Modeling subpopulations for hierarchically structured data	0
Feature selection for imbalanced data with deep sparse autoencoders ensemble	0
Issue Information	0
Penalized composite likelihood for colored graphical Gaussian models	0
Node Centrality Inference via Hypothesis Testing	0
Distributed dimension reduction with nearly oracle rate	0
Bayesian batch optimization for molybdenum versus tungsten inertial confinement fusion double shell target design	0
	0
	0
Coefficient tree regression for generalized linear models	0
	0
Issue Information	0
Boosting diversity in regression ensembles	0
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest	0
Issue Information	0
Tracking clusters and anomalies in evolving data streams	0
A deep learning approach for the comparison of handwritten documents using latent feature vectors	0
On difference‐based gradient estimation in nonparametric regression	0
Input‐response space‐filling designs incorporating response uncertainty	0
Weighted AutoEncoding recommender system	0
A treeless absolutely random forest with closed‐form estimators of expected proximities	0
Intuitively adaptable outlier detector	0
	0
Modeling matrix variate time series via hidden Markov models with skewed emissions	0
Nonparametric Bayesian functional clustering with applications to racial disparities in breast cancer	0
Issue Information	0
Non‐uniform active learning for Gaussian process models with applications to trajectory informed aerodynamic databases	0
Biclustering high‐frequency financial time series based on information theory	0
A random forest approach for interval selection in functional regression	0
Ensembled sparse‐input hierarchical networks for high‐dimensional datasets	0
Feature screening of ultrahigh dimensional longitudinal data based on the C‐statistic	0
Adversarially robust subspace learning in the spiked covariance model	0
Supervised compression of big data	0
A linear time method for the detection of collective and point anomalies	0
Issue Information	0
A tutorial on generative adversarial networks with application to classification of imbalanced data	0
Markov chain to analyze web usability of a university website using eye tracking data	0
Weighted pivot coordinates for partial least squares‐based marker discovery in high‐throughput compositional data	0
Frequentist model averaging for zero‐inflated Poisson regression models	0
Issue Information	0
Lq regularization for fair artificial intelligence robust to covariate shift	0
Stratified learning: A general‐purpose statistical method for improved learning under covariate shift	0
Handwriting identification using random forests and score‐based likelihood ratios	0
Out‐of‐bag stability estimation for k‐means clustering	0
Bag of little bootstraps for massive and distributed longitudinal data	0
Neural interval‐censored survival regression with feature selection	0
On Algorithms and Approximations for Progressively Type‐I Censoring Schemes	0
Noise‐Augmented ℓ0 Regularization of Tensor Regression With Tucker Decomposition	0
Semi‐supervised multi‐label learning with missing labels by exploiting feature‐label correlations	0
Imbalanced classification: A paradigm‐based review	0
A novel Bayesian method for variable selection and estimation in binary quantile regression	0
Online embedding and clustering of evolving data streams	0
Traditional kriging versus modern Gaussian processes for large‐scale mining data	0
Semiparametric estimation of average treatment effects in observational studies	0
	0
A machine learning oracle for parameter estimation	0
Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	0
Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain	0
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	0
Robust multitask learning in high dimensions under memory constraint	0
Expert‐in‐the‐loop design of integral nuclear data experiments	0
Hierarchy‐assisted gene expression regulatory network analysis	0
	0

Issue Information	0
Residuals and diagnostics for multinomial regression models	0
Bayesian inference for nonprobability samples with nonignorable missingness	0
	0
A study of the impact of COVID‐19 on the Chinese stock market based on a new textual multiple ARMA model	0
Using Neural Networks to Identify Mixture Components in Hyperspectral Reflectance Data	0
Comparison of merging strategies for building machine learning models on multiple independent gene expression data sets	0
Regression‐based Bayesian estimation and structure learning for nonparanormal graphical models	0
An efficientk‐modes algorithm for clustering categorical datasets	0
Application of nonparametric quantifiers for online handwritten signature verification: A statistical learning approach	0
Issue Information	0
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction	0
A family of mixture models for biclustering	0
Greenwood Statistic Under Distortion Measurement Errors	0
Revisiting Winnow: A modified online feature selection algorithm for efficient binary classification	0
The finite mixture model for the tails of distribution: Monte Carlo experiment and empirical applications	0
Compositional variable selection in quantile regression for microbiome data with false discovery rate control	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
Precision aggregated local models	0
Multi‐node Expectation–Maximization algorithm for finite mixture models	0
Factor analysis of mixed data for anomaly detection	0
Doubly robust estimation for non‐probability samples with modified intertwined probabilistic factors decoupling	0
Semiparametric detection of changepoints in location, scale, and copula	0
	0
Neural‐networktransformation models for counting processes	0
Ensemble learning for score likelihood ratios under the common source problem	0
Transfer learning under the Cox model with interval‐censored data	0
Randomized algorithms for tensor response regression	0
Negative binomial graphical model with excess zeros	0
Optimal ratio for data splitting	0
Parallel coordinate order forhigh‐dimensionaldata	0
Categorical classifiers in multiclass classification with imbalanced datasets	0
Cost‐sensitive classification with time constraint on incomplete data	0
Considerations in Bayesian agent‐based modeling for the analysis of COVID‐19 data	0
A general iterative clustering algorithm	0
A tree‐based gene–environment interaction analysis with rare features	0
Towards accelerating particle‐resolved direct numerical simulation with neural operators	0
	0
An Adaptive Microbiome‐Based Truncated Test	0
	0
Simplicial depth: Characterization and reconstruction	0
A modified least angle regression algorithm for interaction selection with heredity	0
Prior effective sample size for exponential family distributions with multiple parameters	0
Erratum to “Data‐driven dimension reduction in functional principal component analysis identifying the change‐point in functional data”	0
Power grid frequency prediction using spatiotemporal modeling	0
Data‐driven stochastic model for quantifying the interplay between amyloid‐beta and calcium levels in Alzheimer's disease	0
Issue Information	0
A fast and efficient Modal EM algorithm for Gaussian mixtures	0
Adaptive batching for Gaussian process surrogates with application in noisy level set estimation	0
On an Empirical Likelihood Based Solution to the Approximate Bayesian Computation Problem	0
CLADAG 2019 Special Issue: Selected Papers on Classification and Data Analysis	0
	0
Issue Information	0
Robust deep neural network surrogate models with uncertainty quantification via adversarial training	0
The Classification Algorithm Based on Functional Logistic Regression Model With Spatial Effects and Its Application in Air Quality Analysis	0
A neutral zone classifier for three classes with an application to text mining	0
Hub‐aware random walk graph embedding methods for classification	0
Local support vector machine based dimension reduction	0
Issue Information	0
	0
An Efficient Filtering Approach for Model Estimation in Sparse Regression	0
Issue Information	0
Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization	0
	0
	0
Study of a bounded interval perks distribution with quantile regression analysis	0
Issue Information	0
An auxiliary Part‐of‐Speech tagger for blog and microblog cyber‐slang	0
Estimating basis functions in massive fields under the spatial mixed effects model	0
Model selection with bootstrap validation	0
Share density‐based clustering of income data	0
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies	0
	0
Residual's influence index (RINFIN), bad leverage and unmasking in high dimensionalL2‐regression	0
Nonparametric mean and variance adaptive classification rule for high‐dimensional data with heteroscedastic variances	0
Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data	0
A finely tuned deep transfer learning algorithm to compare outsole images	0
Spatially‐correlated time series clustering using location‐dependent Dirichlet process mixture model	0
Density estimation via measure transport: Outlook for applications in the biological sciences	0
Multivariate Gaussian RBF‐net for smooth function estimation and variable selection	0
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	0
A novel two‐step extrapolation‐insertion risk model based on the Expectile under the Pareto‐type distribution	0
Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics	0
Sequential metamodel‐based approaches to level‐set estimation under heteroscedasticity	0
Exponential calibration for correlation coefficient with additive distortion measurement errors	0
Simplicial depth and its median: Selected properties and limitations	0