Statistical Analysis and Data Mining

Article	Citations
Randomized multiarm bandits: An improved adaptive data collection method	501
Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation	21
Deep Learning for Variable Selection in Censored Quantile Regression Models	20
Testing for the Important Components of Predictive Variance	17
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Model Averaging for Regression Kink Models	12
BayesMultiomics: An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data	10
Kernel learning with nonconvex ramp loss	9
Some Bayesian biclustering methods: Modeling and inference	9
CLADAG 2021 special issue: Selected papers on classification and data analysis	8
Data Twinning	7
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Optimal ratio for data splitting	7
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	7
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Weighted AutoEncoding recommender system	7
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Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	5
Rank‐Based Inference for Conditional Independence Graph With Missing Values	5
On difference‐based gradient estimation in nonparametric regression	4
Robust deep neural network surrogate models with uncertainty quantification via adversarial training	4
eRPCA: Robust Principal Component Analysis for Exponential Family Distributions	3
Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors	3
Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	3
A tree‐based gene–environment interaction analysis with rare features	3

An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	3
Local influence analysis for the sliced average third‐moment estimation	3
The analysis of association rules: Latent class analysis	3
Recovering the Number of Clusters From a Laplacian Matrix by Nuclear Norm Penalization	3
Bayesian inference for nonprobability samples with nonignorable missingness	3
Input‐response space‐filling designs incorporating response uncertainty	3
Variational Autoencoder With Gamma Mixture for Clustering High‐Dimensional Right‐Skewed Data	3
A finely tuned deep transfer learning algorithm to compare outsole images	3
Nonparametric clustering of RNA‐sequencing data	3
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	3
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Extracting Genetically‐Imputed Causal Features From ECG Data	3
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Model‐Based Recursive Partitioning for Discrete Event Times	3
Development and validation of models for two‐week mortality of inpatients with COVID‐19 infection: A large prospective cohort study	3
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Adversarially robust subspace learning in the spiked covariance model	2
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction	2
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Density estimation via measure transport: Outlook for applications in the biological sciences	2
Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression	2
Low‐Dimensional Adaptive Neural Network Regression With Directional Change Detection via Nuclear Norm Penalization	2
Driving mode analysis—How uncertain functional inputs propagate to an output	2
Interaction Tests With Covariate‐Adaptive Randomization	2
Online Updating Composite Quantile Regression for Streaming Data	2
Semiparametric detection of changepoints in location, scale, and copula	2
Model Average Estimation of Parameters in Linear Model With Multiple Change Points	2
Cost‐sensitive classification with time constraint on incomplete data	2
A Novel Approach for APT Detection Based on Ensemble Learning Model	2
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Biclustering high‐frequency financial time series based on information theory	2
Adaptive Weighted Regularized QRGRU Algorithm and Its Application in Stock Price Prediction	2
Data‐driven stochastic model for quantifying the interplay between amyloid‐beta and calcium levels in Alzheimer's disease	2
Semiparametric estimation of average treatment effects in observational studies	2
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Bayesian batch optimization for molybdenum versus tungsten inertial confinement fusion double shell target design	1
Simplicial depth and its median: Selected properties and limitations	1
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Simplicial depth: Characterization and reconstruction	1
Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics	1
Gaussian process selections in semiparametric multi‐kernel machine regression for multi‐pathway analysis	1
Regression‐based Bayesian estimation and structure learning for nonparanormal graphical models	1
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A study of the impact of COVID‐19 on the Chinese stock market based on a new textual multiple ARMA model	1
A new parametric approach to gender gap with application to EUSILC data in Poland and Italy	1
Modeling matrix variate time series via hidden Markov models with skewed emissions	1
A Homogeneity Test for Ordinal Receiver Operating Characteristic Regression With Application to Facial Recognition Accuracy Assessment	1
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Constructing Cell‐Type Taxonomy by Optimal Transport With Relaxed Marginal Constraints	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
Estimation of disease progression for ischemic heart disease using latent Markov with covariates	1
An automated alignment algorithm for identification of the source of footwear impressions with common class characteristics	1
Score Tests for Overdispersion in Marginalized Zero‐Inflated Poisson Regression Based on Marginalized Zero‐Inflated Generalized Poisson Model	1
Triangulation‐Based Spatial Clustering for Adjacent Data With Heterogeneous Density	1
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Online Variable Selection and Parameter Estimation for Massive Data via Square Root Lasso	1
Confidence bounds for threshold similarity graph in random variable network	1
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Corrigendum	1
Dynamic Clustering of Multivariate Time Series: Modeling Time‐Varying Memberships	1
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies	1
Efficient importance sampling imputation algorithms for quantile and composite quantile regression	1
Coupled support tensor machine classification for multimodal neuroimaging data	1
Multi‐scale affinities with missing data: Estimation and applications	1
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Share density‐based clustering of income data	1
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Recursive Random Binning to Detect and Display Pairwise Dependence	1
Cluster analysis via random partition distributions	1
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Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain	1
Convolutional Sparse Coding for Time Series Via a ℓ0 Penalty: An Efficient Algorithm With Statistical Guarantees	1
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A general iterative clustering algorithm	0
Considerations in Bayesian agent‐based modeling for the analysis of COVID‐19 data	0
An Adaptive Microbiome‐Based Truncated Test	0
Feature screening of ultrahigh dimensional longitudinal data based on the C‐statistic	0
Robust multitask learning in high dimensions under memory constraint	0
A novel two‐step extrapolation‐insertion risk model based on the Expectile under the Pareto‐type distribution	0
Conformal Multi‐Target Hyperrectangles	0
Doubly robust estimation for non‐probability samples with modified intertwined probabilistic factors decoupling	0
Spatially‐correlated time series clustering using location‐dependent Dirichlet process mixture model	0
The generalized hyperbolic family and automatic model selection through the multiple‐choiceLASSO	0
Handwriting identification using random forests and score‐based likelihood ratios	0
Identifying Nuclear Data Correlated Through Predicting Bias in Integral Experiments via Applying Principal Component Analysis to Random Forest	0
A novel Bayesian method for variable selection and estimation in binary quantile regression	0
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Machine learning and neural network based model predictions of soybean export shares from US Gulf to China	0
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Factor analysis of mixed data for anomaly detection	0
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On an Empirical Likelihood Based Solution to the Approximate Bayesian Computation Problem	0
Wasserstein Centroid‐Based Binary Classification for Distributional Data	0
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Adaptive boosting for ordinal target variables using neural networks	0
Boosting diversity in regression ensembles	0
Intuitively adaptable outlier detector	0
Assessment of the real‐time pattern recognition capability of machine learning algorithms	0
Noise‐Augmented ℓ0 Regularization of Tensor Regression With Tucker Decomposition	0
A neutral zone classifier for three classes with an application to text mining	0
Two‐sample testing for random graphs	0
Modeling subpopulations for hierarchically structured data	0
Using Neural Networks to Identify Mixture Components in Hyperspectral Reflectance Data	0
Residuals and diagnostics for multinomial regression models	0
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A linear time method for the detection of collective and point anomalies	0
Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization	0
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Counterfactual Uncertainty Quantification of Factual Estimand of Efficacy From Before‐and‐After Treatment Repeated Measures Randomized Controlled Trials	0
Revisiting Winnow: A modified online feature selection algorithm for efficient binary classification	0
Nonparametric Expectile Regression Meets Deep Neural Networks: A Robust Nonlinear Variable Selection method	0
Portability analysis of data mining models for fog events forecasting	0
Statistical Shape Analysis of Human Bodies	0
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Correspondence Analysis From the Viewpoint of Compositional Tables	0
Nonlinear Superpopulation Model Inference for Non‐Probability Samples With Nonignorable Missingness	0
Distributionally Conservative Stochastic Dominance via Subsampling	0
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Nonparametric Bayesian functional clustering with applications to racial disparities in breast cancer	0
Detection of Unknown Functional Departure in Generalized Functional Regression	0
The finite mixture model for the tails of distribution: Monte Carlo experiment and empirical applications	0
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Hub‐aware random walk graph embedding methods for classification	0
Categorical classifiers in multiclass classification with imbalanced datasets	0
Marginal clustered multistate models for longitudinal progressive processes with informative cluster size	0
Nonparametric mean and variance adaptive classification rule for high‐dimensional data with heteroscedastic variances	0
Greenwood Statistic Under Distortion Measurement Errors	0

Online embedding and clustering of evolving data streams	0
Characterizing climate pathways using feature importance on echo state networks	0
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Artificial Neural Network Optimization to Estimate Radon in Soil	0
Application of nonparametric quantifiers for online handwritten signature verification: A statistical learning approach	0
Hierarchy‐assisted gene expression regulatory network analysis	0
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A random forest approach for interval selection in functional regression	0
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Smart data augmentation: One equation is all you need	0
Computational Improvements to the Kernel k$$ k $$‐Means Clustering Algorithm	0
Online learning for streaming data classification in nonstationary environments	0
Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization	0
Ensembled sparse‐input hierarchical networks for high‐dimensional datasets	0
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Towards accelerating particle‐resolved direct numerical simulation with neural operators	0
Lq regularization for fair artificial intelligence robust to covariate shift	0
Compositional variable selection in quantile regression for microbiome data with false discovery rate control	0
Specifying composites in structural equation modeling: A refinement of the Henseler–Ogasawara specification	0
Exact Score Vector and Hessian Matrix for Mixtures of Matrix‐Variate Normals	0
Bag of little bootstraps for massive and distributed longitudinal data	0
A tutorial on generative adversarial networks with application to classification of imbalanced data	0
BOSTON‐PUPA: A Bayesian Online Spatio‐Temporal Outbreak Detection Framework With Prior Updating and p‐Value Adaptation	0
Association rules and decision rules	0
Measure inducing classification and regression trees for functional data	0
On Algorithms and Approximations for Progressively Type‐I Censoring Schemes	0
Classifier Performance on Long‐Tail Distributions	0
Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data	0
The Classification Algorithm Based on Functional Logistic Regression Model With Spatial Effects and Its Application in Air Quality Analysis	0
Expert‐in‐the‐loop design of integral nuclear data experiments	0
A new logarithmic multiplicative distortion for correlation analysis	0
Traditional kriging versus modern Gaussian processes for large‐scale mining data	0
A treeless absolutely random forest with closed‐form estimators of expected proximities	0
Robustifying Marginal Linear Models for Correlated Responses Using a Constructive Multivariate Huber Distribution	0
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A modified least angle regression algorithm for interaction selection with heredity	0
Neural interval‐censored survival regression with feature selection	0
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Randomized algorithms for tensor response regression	0
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest	0
Model selection with bootstrap validation	0
Individualized image region detection with total variation	0
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Ensemble learning for score likelihood ratios under the common source problem	0
Feature selection for imbalanced data with deep sparse autoencoders ensemble	0
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Out‐of‐bag stability estimation for k‐means clustering	0
Frequentist model averaging for zero‐inflated Poisson regression models	0
Prior effective sample size for exponential family distributions with multiple parameters	0
A machine learning oracle for parameter estimation	0
Subsampling under distributional constraints	0
Buckley–Jamesestimation of generalized additive accelerated lifetime model with ultrahigh‐dimensional data	0
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A deep learning approach for the comparison of handwritten documents using latent feature vectors	0
Transfer learning under the Cox model with interval‐censored data	0
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Distributed dimension reduction with nearly oracle rate	0
Sequential metamodel‐based approaches to level‐set estimation under heteroscedasticity	0
Study of a bounded interval perks distribution with quantile regression analysis	0
An Efficient Filtering Approach for Model Estimation in Sparse Regression	0
Variable Selection in Nonparametric Additive Models via Data Splitting	0
Non‐uniform active learning for Gaussian process models with applications to trajectory informed aerodynamic databases	0
An auxiliary Part‐of‐Speech tagger for blog and microblog cyber‐slang	0
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Imputed quantile vector autoregressive model for multivariate spatial–temporal data	0
Stratified learning: A general‐purpose statistical method for improved learning under covariate shift	0
Bayesian Quantile Semiparametric Mixed‐Effects Double Regression Models for Analyzing Longitudinal Data With Non‐Ignorable Missing Responses	0
Rarity updated ensemble with oversampling: An ensemble approach to classification of imbalanced data streams	0
Node Centrality Inference via Hypothesis Testing	0
Error‐controlled feature selection for ultrahigh‐dimensional and highly correlated feature space using deep learning	0
Local support vector machine based dimension reduction	0
Deep Symbolic Learning for Histogram‐Valued Regression Data	0
Neural‐networktransformation models for counting processes	0
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Semi‐supervised multi‐label learning with missing labels by exploiting feature‐label correlations	0
Neural Estimation of Treatment Bridge Functions for Proximal Causal Inference	0
Bilateral‐WeightedOnline Adaptive Isolation Forest for anomaly detection in streaming data	0