Statistical Analysis and Data Mining

Article	Citations
	415
Predictive models with end user preference	26
Evaluating causal‐based feature selection for fuel property prediction models	15
A practical extension of the recursive multi‐fidelity model for the emulation of hole closure experiments	13
Data‐drivensparse partial least squares	12
Sample selection bias in evaluation of prediction performance of causal models	12
Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation	12
Modeling and inference for mixtures of simple symmetric exponential families of ‐dimensional distributions for vectors with binary coordinates	12
Survival trees based on heterogeneity in time‐to‐event and censoring distributions using parameter instability test	11
Randomized multiarm bandits: An improved adaptive data collection method	11
CLADAG 2021 special issue: Selected papers on classification and data analysis	9
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Kernel learning with nonconvex ramp loss	8
Some Bayesian biclustering methods: Modeling and inference	8
Issue Information	7
BayesMultiomics: An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data	7
Model Averaging for Regression Kink Models	7
Data Twinning	7
Optimal ratio for data splitting	6
An efficientk‐modes algorithm for clustering categorical datasets	5
Negative binomial graphical model with excess zeros	5
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	5
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Weighted AutoEncoding recommender system	5
Tracking clusters and anomalies in evolving data streams	4

Multi‐node Expectation–Maximization algorithm for finite mixture models	3
On difference‐based gradient estimation in nonparametric regression	3
Model‐Based Recursive Partitioning for Discrete Event Times	3
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Bayesian modeling of location, scale, and shape parameters in skew‐normal regression models	3
Input‐response space‐filling designs incorporating response uncertainty	3
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	3
Estimating basis functions in massive fields under the spatial mixed effects model	3
Comparison of merging strategies for building machine learning models on multiple independent gene expression data sets	3
Bayesian inference for nonprobability samples with nonignorable missingness	3
An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	3
Issue Information	3
Robust deep neural network surrogate models with uncertainty quantification via adversarial training	3
A tree‐based gene–environment interaction analysis with rare features	3
Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	3
A finely tuned deep transfer learning algorithm to compare outsole images	3
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Adversarially robust subspace learning in the spiked covariance model	2
eRPCA: Robust Principal Component Analysis for Exponential Family Distributions	2
Issue Information	2
Nonparametric clustering of RNA‐sequencing data	2
Driving mode analysis—How uncertain functional inputs propagate to an output	2
Biclustering high‐frequency financial time series based on information theory	2
A Novel Approach for APT Detection Based on Ensemble Learning Model	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
Local influence analysis for the sliced average third‐moment estimation	2
Issue Information	2
Development and validation of models for two‐week mortality of inpatients with COVID‐19 infection: A large prospective cohort study	2
Cost‐sensitive classification with time constraint on incomplete data	2
Issue Information	2
Sketched Stochastic Dictionary Learning for large‐scale data and application to high‐throughput mass spectrometry	2
The analysis of association rules: Latent class analysis	2
The fairness‐accuracy Pareto front	2
Interaction Tests With Covariate‐Adaptive Randomization	2
Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression	2
Confidence bounds for threshold similarity graph in random variable network	1
A study of the impact of COVID‐19 on the Chinese stock market based on a new textual multiple ARMA model	1
Efficient importance sampling imputation algorithms for quantile and composite quantile regression	1
Coupled support tensor machine classification for multimodal neuroimaging data	1
A new parametric approach to gender gap with application to EUSILC data in Poland and Italy	1
Convolutional Sparse Coding for Time Series Via a ℓ0 Penalty: An Efficient Algorithm With Statistical Guarantees	1
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction	1
High‐dimensional classification based on nonparametric maximum likelihood estimation under unknown and inhomogeneous variances	1
Data‐driven stochastic model for quantifying the interplay between amyloid‐beta and calcium levels in Alzheimer's disease	1
Corrigendum	1
Semiparametric detection of changepoints in location, scale, and copula	1
Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain	1
Weighted validation of heteroscedastic regression models for better selection	1
Cluster analysis via random partition distributions	1

A family of mixture models for biclustering	1
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An automated alignment algorithm for identification of the source of footwear impressions with common class characteristics	1
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Semiparametric estimation of average treatment effects in observational studies	1
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies	1
Density estimation via measure transport: Outlook for applications in the biological sciences	1
Estimation of disease progression for ischemic heart disease using latent Markov with covariates	1
Gaussian process selections in semiparametric multi‐kernel machine regression for multi‐pathway analysis	1
Bayesian batch optimization for molybdenum versus tungsten inertial confinement fusion double shell target design	1
Multi‐scale affinities with missing data: Estimation and applications	1
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Modeling matrix variate time series via hidden Markov models with skewed emissions	1
Issue Information	1
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A Homogeneity Test for Ordinal Receiver Operating Characteristic Regression With Application to Facial Recognition Accuracy Assessment	1
Simplicial depth and its median: Selected properties and limitations	1
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Weighted pivot coordinates for partial least squares‐based marker discovery in high‐throughput compositional data	1
Regrouped design in privacy analysis for multinomial microdata	1
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	1
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Online Variable Selection and Parameter Estimation for Massive Data via Square Root Lasso	0
Application of nonparametric quantifiers for online handwritten signature verification: A statistical learning approach	0
Sequential metamodel‐based approaches to level‐set estimation under heteroscedasticity	0
Modal linear regression models with multiplicative distortion measurement errors	0
An Efficient Filtering Approach for Model Estimation in Sparse Regression	0
A deep learning approach for the comparison of handwritten documents using latent feature vectors	0
Semi‐supervised multi‐label learning with missing labels by exploiting feature‐label correlations	0
Application of the Cox proportional hazards model and competing risks models to critical illness insurance data	0
Nonparametric Expectile Regression Meets Deep Neural Networks: A Robust Nonlinear Variable Selection method	0
Model selection with bootstrap validation	0
Issue Information	0
Online learning for streaming data classification in nonstationary environments	0
Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization	0
Individualized image region detection with total variation	0
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On an Empirical Likelihood Based Solution to the Approximate Bayesian Computation Problem	0
Issue Information	0
A new logarithmic multiplicative distortion for correlation analysis	0
Noise‐Augmented ℓ0 Regularization of Tensor Regression With Tucker Decomposition	0
Marginal clustered multistate models for longitudinal progressive processes with informative cluster size	0
Feature selection for imbalanced data with deep sparse autoencoders ensemble	0
Ensemble learning for score likelihood ratios under the common source problem	0
Stratified learning: A general‐purpose statistical method for improved learning under covariate shift	0
Greenwood Statistic Under Distortion Measurement Errors	0
Towards accelerating particle‐resolved direct numerical simulation with neural operators	0
Specifying composites in structural equation modeling: A refinement of the Henseler–Ogasawara specification	0
Smart data augmentation: One equation is all you need	0
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Node Centrality Inference via Hypothesis Testing	0
Factor analysis of mixed data for anomaly detection	0
Issue Information	0
Frequentist model averaging for zero‐inflated Poisson regression models	0
On Algorithms and Approximations for Progressively Type‐I Censoring Schemes	0
Issue Information	0
A fast and efficient Modal EM algorithm for Gaussian mixtures	0
Issue Information	0
CLADAG 2019 Special Issue: Selected Papers on Classification and Data Analysis	0
Ensembled sparse‐input hierarchical networks for high‐dimensional datasets	0
Neural‐networktransformation models for counting processes	0
A modified least angle regression algorithm for interaction selection with heredity	0
Identifying Nuclear Data Correlated Through Predicting Bias in Integral Experiments via Applying Principal Component Analysis to Random Forest	0
Penalized composite likelihood for colored graphical Gaussian models	0
Robustifying Marginal Linear Models for Correlated Responses Using a Constructive Multivariate Huber Distribution	0
Issue Information	0
Out‐of‐bag stability estimation for k‐means clustering	0
Share density‐based clustering of income data	0
Compositional variable selection in quantile regression for microbiome data with false discovery rate control	0
Lq regularization for fair artificial intelligence robust to covariate shift	0
Regression‐based Bayesian estimation and structure learning for nonparanormal graphical models	0
Study of a bounded interval perks distribution with quantile regression analysis	0
Issue Information	0
Measure inducing classification and regression trees for functional data	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
An Adaptive Microbiome‐Based Truncated Test	0
Rarity updated ensemble with oversampling: An ensemble approach to classification of imbalanced data streams	0
Imbalanced classification: A paradigm‐based review	0
Adaptive batching for Gaussian process surrogates with application in noisy level set estimation	0

Randomized algorithms for tensor response regression	0
Machine learning and neural network based model predictions of soybean export shares from US Gulf to China	0
Error‐controlled feature selection for ultrahigh‐dimensional and highly correlated feature space using deep learning	0
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Imputed quantile vector autoregressive model for multivariate spatial–temporal data	0
Online embedding and clustering of evolving data streams	0
Nonparametric Bayesian functional clustering with applications to racial disparities in breast cancer	0
Local support vector machine based dimension reduction	0
Factor analysis for high‐dimensional time series: Consistent estimation and efficient computation	0
Issue Information	0
Conformal Multi‐Target Hyperrectangles	0
Categorical classifiers in multiclass classification with imbalanced datasets	0
Robust multitask learning in high dimensions under memory constraint	0
Using Neural Networks to Identify Mixture Components in Hyperspectral Reflectance Data	0
Issue Information	0
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Buckley–Jamesestimation of generalized additive accelerated lifetime model with ultrahigh‐dimensional data	0
Detection of Unknown Functional Departure in Generalized Functional Regression	0
A novel Bayesian method for variable selection and estimation in binary quantile regression	0
The Classification Algorithm Based on Functional Logistic Regression Model With Spatial Effects and Its Application in Air Quality Analysis	0
Issue Information	0
Handwriting identification using random forests and score‐based likelihood ratios	0
Modeling subpopulations for hierarchically structured data	0
Coefficient tree regression for generalized linear models	0
Score Tests for Overdispersion in Marginalized Zero‐Inflated Poisson Regression Based on Marginalized Zero‐Inflated Generalized Poisson Model	0
Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data	0
Precision aggregated local models	0
The finite mixture model for the tails of distribution: Monte Carlo experiment and empirical applications	0
Transfer learning under the Cox model with interval‐censored data	0
Considerations in Bayesian agent‐based modeling for the analysis of COVID‐19 data	0
Revisiting Winnow: A modified online feature selection algorithm for efficient binary classification	0
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Issue Information	0
Feature screening of ultrahigh dimensional longitudinal data based on the C‐statistic	0
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 dimensionalL2‐regression	0
Fourier neural networks as function approximators and differential equation solvers	0
An auxiliary Part‐of‐Speech tagger for blog and microblog cyber‐slang	0
Issue Information	0
A tutorial on generative adversarial networks with application to classification of imbalanced data	0
Distributed dimension reduction with nearly oracle rate	0
Bilateral‐WeightedOnline Adaptive Isolation Forest for anomaly detection in streaming data	0
Markov chain to analyze web usability of a university website using eye tracking data	0
Boosting diversity in regression ensembles	0
Issue Information	0
Hub‐aware random walk graph embedding methods for classification	0
Issue Information	0
Association rules and decision rules	0
Prior effective sample size for exponential family distributions with multiple parameters	0
A linear time method for the detection of collective and point anomalies	0
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Characterizing climate pathways using feature importance on echo state networks	0
A novel two‐step extrapolation‐insertion risk model based on the Expectile under the Pareto‐type distribution	0
Assessment of the real‐time pattern recognition capability of machine learning algorithms	0
Analyzing relevance vector machines using a single penalty approach	0
Residuals and diagnostics for multinomial regression models	0
A machine learning oracle for parameter estimation	0
Spatially‐correlated time series clustering using location‐dependent Dirichlet process mixture model	0
Neural interval‐censored survival regression with feature selection	0
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Adaptive boosting for ordinal target variables using neural networks	0
Non‐uniform active learning for Gaussian process models with applications to trajectory informed aerodynamic databases	0
The generalized hyperbolic family and automatic model selection through the multiple‐choiceLASSO	0
Power grid frequency prediction using spatiotemporal modeling	0
A general iterative clustering algorithm	0
Parallel coordinate order forhigh‐dimensionaldata	0
A neutral zone classifier for three classes with an application to text mining	0
Subsampling under distributional constraints	0
A treeless absolutely random forest with closed‐form estimators of expected proximities	0
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Hierarchy‐assisted gene expression regulatory network analysis	0
Expert‐in‐the‐loop design of integral nuclear data experiments	0
Issue Information	0
Issue Information	0
BOSTON‐PUPA: A Bayesian Online Spatio‐Temporal Outbreak Detection Framework With Prior Updating and p‐Value Adaptation	0
Simplicial depth: Characterization and reconstruction	0
Multivariate Gaussian RBF‐net for smooth function estimation and variable selection	0
Traditional kriging versus modern Gaussian processes for large‐scale mining data	0
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Intuitively adaptable outlier detector	0
Portability analysis of data mining models for fog events forecasting	0
Issue Information	0
Issue Information	0
Triangulation‐Based Spatial Clustering for Adjacent Data With Heterogeneous Density	0
Two‐sample testing for random graphs	0
Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization	0
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest	0
Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics	0
Bag of little bootstraps for massive and distributed longitudinal data	0