Statistical Analysis and Data Mining

Article	Citations
Randomized multiarm bandits: An improved adaptive data collection method	540
Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation	23
Deep Learning for Variable Selection in Censored Quantile Regression Models	21
Testing for the Important Components of Predictive Variance	19
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Model Averaging for Regression Kink Models	14
CLADAG 2021 special issue: Selected papers on classification and data analysis	9
BayesMultiomics : An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data	9
Issue Information	9
Data Twinning	8
Some Bayesian biclustering methods: Modeling and inference	7
Kernel learning with nonconvex ramp loss	7
Optimal ratio for data splitting	6
Issue Information	5
Weighted AutoEncoding recommender system	5
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Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	5
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	4
Robust deep neural network surrogate models with uncertainty quantification via adversarial training	4
A tree‐based gene–environment interaction analysis with rare features	4
Issue Information	4
Rank‐Based Inference for Conditional Independence Graph With Missing Values	4
On difference‐based gradient estimation in nonparametric regression	4
Input‐response space‐filling designs incorporating response uncertainty	4
Robust Model‐Based Semi‐Supervised Clustering of Incomplete Records	4

Variational Autoencoder With Gamma Mixture for Clustering High‐Dimensional Right‐Skewed Data	4
Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	4
Model‐Based Recursive Partitioning for Discrete Event Times	3
Extracting Genetically‐Imputed Causal Features From ECG Data	3
Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors	3
eRPCA: Robust Principal Component Analysis for Exponential Family Distributions	3
An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	3
Bayesian inference for nonprobability samples with nonignorable missingness	3
Local influence analysis for the sliced average third‐moment estimation	3
The analysis of association rules: Latent class analysis	3
Robust and Differentially Private Principal Component Analysis	3
A finely tuned deep transfer learning algorithm to compare outsole images	3
Nonparametric clustering of RNA‐sequencing data	3
Issue Information	3
Online Updating Composite Quantile Regression for Streaming Data	2
Semiparametric detection of changepoints in location, scale, and copula	2
A Novel Approach for APT Detection Based on Ensemble Learning Model	2
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Recovering the Number of Clusters From a Laplacian Matrix by Nuclear Norm Penalization	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
Interaction Tests With Covariate‐Adaptive Randomization	2
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	2
Low‐Dimensional Adaptive Neural Network Regression With Directional Change Detection via Nuclear Norm Penalization	2
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Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression	2
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction	2
Cost‐sensitive classification with time constraint on incomplete data	2
Driving mode analysis—How uncertain functional inputs propagate to an output	2
Development and validation of models for two‐week mortality of inpatients with COVID‐19 infection: A large prospective cohort study	2
Issue Information	2
Adversarially robust subspace learning in the spiked covariance model	2
Convolutional Sparse Coding for Time Series Via a ℓ0 Penalty: An Efficient Algorithm With Statistical Guarantees	1
Simplicial depth: Characterization and reconstruction	1
Share density‐based clustering of income data	1
Online Variable Selection and Parameter Estimation for Massive Data via Square Root Lasso	1
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Confidence bounds for threshold similarity graph in random variable network	1
Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain	1
Corrigendum	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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A new parametric approach to gender gap with application to EUSILC data in Poland and Italy	1
Coupled support tensor machine classification for multimodal neuroimaging data	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
Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics	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
Cluster analysis via random partition distributions	1
Bayesian batch optimization for molybdenum versus tungsten inertial confinement fusion double shell target design	1
Estimation of disease progression for ischemic heart disease using latent Markov with covariates	1
Semiparametric estimation of average treatment effects in observational studies	1
Simplicial depth and its median: Selected properties and limitations	1
Density estimation via measure transport: Outlook for applications in the biological sciences	1
Dynamic Clustering of Multivariate Time Series: Modeling Time‐Varying Memberships	1
Transfer learning under the Cox model with interval‐censored data	1
Triangulation‐Based Spatial Clustering for Adjacent Data With Heterogeneous Density	1
Regression‐based Bayesian estimation and structure learning for nonparanormal graphical models	1
Recursive Random Binning to Detect and Display Pairwise Dependence	1
Modeling matrix variate time series via hidden Markov models with skewed emissions	1
A study of the impact of COVID‐19 on the Chinese stock market based on a new textual multiple ARMA model	1
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Gaussian process selections in semiparametric multi‐kernel machine regression for multi‐pathway analysis	1
Constructing Cell‐Type Taxonomy by Optimal Transport With Relaxed Marginal Constraints	1
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Model Average Estimation of Parameters in Linear Model With Multiple Change Points	1
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies	1
A novel Bayesian method for variable selection and estimation in binary quantile regression	0
A machine learning oracle for parameter estimation	0
Two‐sample testing for random graphs	0
A modified least angle regression algorithm for interaction selection with heredity	0
Issue Information	0
Categorical classifiers in multiclass classification with imbalanced datasets	0
The Classification Algorithm Based on Functional Logistic Regression Model With Spatial Effects and Its Application in Air Quality Analysis	0
Hub‐aware random walk graph embedding methods for classification	0
Conformal Multi‐Target Hyperrectangles	0
Online embedding and clustering of evolving data streams	0
Semi‐supervised multi‐label learning with missing labels by exploiting feature‐label correlations	0
Nonparametric Bayesian functional clustering with applications to racial disparities in breast cancer	0
Issue Information	0
Imputed quantile vector autoregressive model for multivariate spatial–temporal data	0
Application of nonparametric quantifiers for online handwritten signature verification: A statistical learning approach	0
Assessment of the real‐time pattern recognition capability of machine learning algorithms	0
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest	0
Factor analysis of mixed data for anomaly detection	0
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A deep learning approach for the comparison of handwritten documents using latent feature vectors	0
Using Neural Networks to Identify Mixture Components in Hyperspectral Reflectance Data	0
Online learning for streaming data classification in nonstationary environments	0
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Computational Improvements to the Kernel k$$ k $$‐Means Clustering Algorithm	0
Issue Information	0
Exact Score Vector and Hessian Matrix for Mixtures of Matrix‐Variate Normals	0
Adaptive boosting for ordinal target variables using neural networks	0
An Adaptive Microbiome‐Based Truncated Test	0
Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data	0
A linear time method for the detection of collective and point anomalies	0
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Distributionally Conservative Stochastic Dominance via Subsampling	0
Deep Symbolic Learning for Histogram‐Valued Regression Data	0
Counterfactual Uncertainty Quantification of Factual Estimand of Efficacy From Before‐and‐After Treatment Repeated Measures Randomized Controlled Trials	0
Neural Estimation of Treatment Bridge Functions for Proximal Causal Inference	0
Node Centrality Inference via Hypothesis Testing	0
Lq regularization for fair artificial intelligence robust to covariate shift	0
Considerations in Bayesian agent‐based modeling for the analysis of COVID‐19 data	0
Local support vector machine based dimension reduction	0
Boosting diversity in regression ensembles	0
Sequential metamodel‐based approaches to level‐set estimation under heteroscedasticity	0
Copula‐Based Deep Learning Models for Competing Risks	0
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Weighted SurvClipper : Nonlinear Prognostic Biomarker Selection Incorporating Historical Information for Survival Risk With Controlled	0
Ensembled sparse‐input hierarchical networks for high‐dimensional datasets	0
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Issue Information	0
Ensemble learning for score likelihood ratios under the common source problem	0
An Efficient Filtering Approach for Model Estimation in Sparse Regression	0
Noise‐Augmented ℓ0 Regularization of Tensor Regression With Tucker Decomposition	0
Feature screening of ultrahigh dimensional longitudinal data based on the C‐statistic	0
Individualized image region detection with total variation	0
Spatially‐correlated time series clustering using location‐dependent Dirichlet process mixture model	0
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Robust multitask learning in high dimensions under memory constraint	0
Machine learning and neural network based model predictions of soybean export shares from US Gulf to China	0
Model selection with bootstrap validation	0

Subsampling under distributional constraints	0
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Identifying Nuclear Data Correlated Through Predicting Bias in Integral Experiments via Applying Principal Component Analysis to Random Forest	0
Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization	0
Prior effective sample size for exponential family distributions with multiple parameters	0
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Out‐of‐bag stability estimation for k‐means clustering	0
Specifying composites in structural equation modeling: A refinement of the Henseler–Ogasawara specification	0
On an Empirical Likelihood Based Solution to the Approximate Bayesian Computation Problem	0
Smart data augmentation: One equation is all you need	0
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Modeling subpopulations for hierarchically structured data	0
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Stratified learning: A general‐purpose statistical method for improved learning under covariate shift	0
A new logarithmic multiplicative distortion for correlation analysis	0
Error‐controlled feature selection for ultrahigh‐dimensional and highly correlated feature space using deep learning	0
Nonparametric Expectile Regression Meets Deep Neural Networks: A Robust Nonlinear Variable Selection method	0
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Robustifying Marginal Linear Models for Correlated Responses Using a Constructive Multivariate Huber Distribution	0
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Expert‐in‐the‐loop design of integral nuclear data experiments	0
Revisiting Winnow: A modified online feature selection algorithm for efficient binary classification	0
A neutral zone classifier for three classes with an application to text mining	0
Bayesian Quantile Semiparametric Mixed‐Effects Double Regression Models for Analyzing Longitudinal Data With Non‐Ignorable Missing Responses	0
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Artificial Neural Network Optimization to Estimate Radon in Soil	0
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Residuals and diagnostics for multinomial regression models	0
Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization	0
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Wasserstein Centroid‐Based Binary Classification for Distributional Data	0
Towards accelerating particle‐resolved direct numerical simulation with neural operators	0
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Doubly robust estimation for non‐probability samples with modified intertwined probabilistic factors decoupling	0
Hierarchy‐assisted gene expression regulatory network analysis	0
Study of a bounded interval perks distribution with quantile regression analysis	0
Traditional kriging versus modern Gaussian processes for large‐scale mining data	0
Marginal clustered multistate models for longitudinal progressive processes with informative cluster size	0
A novel two‐step extrapolation‐insertion risk model based on the Expectile under the Pareto‐type distribution	0
On Algorithms and Approximations for Progressively Type‐I Censoring Schemes	0
Neural interval‐censored survival regression with feature selection	0
Nonparametric mean and variance adaptive classification rule for high‐dimensional data with heteroscedastic variances	0
Characterizing climate pathways using feature importance on echo state networks	0
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Issue Information	0
A general iterative clustering algorithm	0
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The generalized hyperbolic family and automatic model selection through the multiple‐choiceLASSO	0
A random forest approach for interval selection in functional regression	0
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Greenwood Statistic Under Distortion Measurement Errors	0
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Association rules and decision rules	0
Nonlinear Superpopulation Model Inference for Non‐Probability Samples With Nonignorable Missingness	0
Variable Selection in Nonparametric Additive Models via Data Splitting	0
Bilateral‐WeightedOnline Adaptive Isolation Forest for anomaly detection in streaming data	0
Buckley–Jamesestimation of generalized additive accelerated lifetime model with ultrahigh‐dimensional data	0
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Rarity updated ensemble with oversampling: An ensemble approach to classification of imbalanced data streams	0
Distributed dimension reduction with nearly oracle rate	0
Classifier Performance on Long‐Tail Distributions	0
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Detection of Unknown Functional Departure in Generalized Functional Regression	0
BOSTON‐PUPA: A Bayesian Online Spatio‐Temporal Outbreak Detection Framework With Prior Updating and p‐Value Adaptation	0
An auxiliary Part‐of‐Speech tagger for blog and microblog cyber‐slang	0
Statistical Shape Analysis of Human Bodies	0
Randomized algorithms for tensor response regression	0
A treeless absolutely random forest with closed‐form estimators of expected proximities	0
Compositional variable selection in quantile regression for microbiome data with false discovery rate control	0
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Frequentist model averaging for zero‐inflated Poisson regression models	0
The finite mixture model for the tails of distribution: Monte Carlo experiment and empirical applications	0
Non‐uniform active learning for Gaussian process models with applications to trajectory informed aerodynamic databases	0
Correspondence Analysis From the Viewpoint of Compositional Tables	0