Statistical Analysis and Data Mining

Article	Citations
Randomized multiarm bandits: An improved adaptive data collection method	34
Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation	21
Deep Learning for Variable Selection in Censored Quantile Regression Models	18
Testing for the Important Components of Predictive Variance	11
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CLADAG 2021 special issue: Selected papers on classification and data analysis	9
Issue Information	8
BayesMultiomics : An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data	8
Model Averaging for Regression Kink Models	8
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Issue Information	7
Semi‐Parametric Estimation of the Non‐Mixture Cure Model With Right‐Censored Data Under a Network Structure	7
Transfer Learning for High‐Dimensional Beta Regression Models	6
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	6
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	5
Rank‐Based Inference for Conditional Independence Graph With Missing Values	5
Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	5
Robust Model‐Based Semi‐Supervised Clustering of Incomplete Records	5
On difference‐based gradient estimation in nonparametric regression	5
An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	5
Testing Hypotheses of Covariate Effects on Topics of Discourse	5
Robust deep neural network surrogate models with uncertainty quantification via adversarial training	5
Issue Information	5
Robust and Differentially Private Principal Component Analysis	4
Variational Autoencoder With Gamma Mixture for Clustering High‐Dimensional Right‐Skewed Data	4

Model‐Based Recursive Partitioning for Discrete Event Times	4
Input‐response space‐filling designs incorporating response uncertainty	4
Extracting Genetically‐Imputed Causal Features From ECG Data	4
Tensor Quantile Regression With Exponential‐Type Penalty	4
Bayesian Dirichlet Process Copula Mixtures for Heterogeneous Multi‐Cluster Data: Methods and an NBA Player Stats Application	4
A finely tuned deep transfer learning algorithm to compare outsole images	4
Bayesian inference for nonprobability samples with nonignorable missingness	4
Stabilizing Inference in Dirichlet Regression via Ridge‐Penalized Model	3
Recovering the Number of Clusters From a Laplacian Matrix by Nuclear Norm Penalization	3
Adaptive Weighted Regularized QRGRU Algorithm and Its Application in Stock Price Prediction	3
Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors	3
Transfer Learning for Linearized Maximum Rank Correlation Estimation	3
Nonparametric clustering of RNA‐sequencing data	3
Issue Information	3
A Novel Approach for APT Detection Based on Ensemble Learning Model	3
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Cost‐sensitive classification with time constraint on incomplete data	3
A Nonparametric Two‐Sample Test Using a Parametric Integral Probability Metric	3
Issue Information	3
Issue Information	3
Wavelet‐Based Single‐Index Additive Models With Irregular Link and Additive Functions	3
Driving mode analysis—How uncertain functional inputs propagate to an output	3
Online Updating Composite Quantile Regression for Streaming Data	3
Interaction Tests With Covariate‐Adaptive Randomization	3
The analysis of association rules: Latent class analysis	3
eRPCA: Robust Principal Component Analysis for Exponential Family Distributions	3
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	3
Density estimation via measure transport: Outlook for applications in the biological sciences	2
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Unsupervised Time‐Event Probabilistic Classification Using Large Panels of Time Series	2
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	2
Constructing Cell‐Type Taxonomy by Optimal Transport With Relaxed Marginal Constraints	2
Large Multi‐Response Linear Regression Estimation Based on Low‐Rank Pre‐Smoothing	2
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
Semiparametric detection of changepoints in location, scale, and copula	2
Simplicial depth and its median: Selected properties and limitations	2
Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain	2
Semiparametric estimation of average treatment effects in observational studies	2
Low‐Dimensional Adaptive Neural Network Regression With Directional Change Detection via Nuclear Norm Penalization	2
Estimating the Variance–Covariance Matrix of Two‐Step Estimates of Latent Variable Models: A General Simulation‐Based Approach	2
Data‐driven stochastic model for quantifying the interplay between amyloid‐beta and calcium levels in Alzheimer's disease	2
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies	2
Bayesian batch optimization for molybdenum versus tungsten inertial confinement fusion double shell target design	2
Model Average Estimation of Parameters in Linear Model With Multiple Change Points	2
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Folded‐Concave Dantzig Selector and Inference for High‐Dimensional Partial Log‐Contrast Models	1
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STEC ‐Net: A Spatiotemporal Graph Neural Framework for Community Discovery in Dynamic Social Networks	1
Confidence bounds for threshold similarity graph in random variable network	1

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An Efficient Filtering Approach for Model Estimation in Sparse Regression	1
An Adaptable Bayesian Quantile‐Based Regression Framework for Asymmetric Data Structures and Extreme Points	1
Transfer learning under the Cox model with interval‐censored data	1
Simplicial depth: Characterization and reconstruction	1
Survival on Image Regression With Application to Partially Functional Distributional Representation of Physical Activity	1
An automated alignment algorithm for identification of the source of footwear impressions with common class characteristics	1
Transfer Learning for High‐Dimensional Convolution Rank Regression	1
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Online Variable Selection and Parameter Estimation for Massive Data via Square Root Lasso	1
Convolutional Sparse Coding for Time Series Via a ℓ0 Penalty: An Efficient Algorithm With Statistical Guarantees	1
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Corrigendum	1
A Homogeneity Test for Ordinal Receiver Operating Characteristic Regression With Application to Facial Recognition Accuracy Assessment	1
Cluster analysis via random partition distributions	1
A machine learning oracle for parameter estimation	1
Recursive Random Binning to Detect and Display Pairwise Dependence	1
A Hybrid Model for Imbalanced Data Classification Using Dynamic Threshold Tuning and Particle Swarm Optimization‐Enhanced Kernel Transformations	1
New Robust M‐Estimator for Random‐Coefficients Panel Data Model: Algorithms, Simulation, and Application to Insurance Data	1
Statistical Detection of Adversarial Compliance With Benford's Law	1
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A new parametric approach to gender gap with application to EUSILC data in Poland and Italy	1
Issue Information	1
Dynamic Clustering of Multivariate Time Series: Modeling Time‐Varying Memberships	1
Share density‐based clustering of income data	1
Pattern Matching for Multivariate Time Series Forecasting	1
Gaussian process selections in semiparametric multi‐kernel machine regression for multi‐pathway analysis	1
Same/Other/All K‐Fold Cross‐Validation for Estimating Similarity of Patterns in Data Subsets	1
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Hierarchy‐assisted gene expression regulatory network analysis	1
Issue Information	1
Modeling Heavy Tail Data With Bayesian Nonparametric Mixtures	1
Wasserstein Centroid‐Based Binary Classification for Distributional Data	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
Modeling matrix variate time series via hidden Markov models with skewed emissions	1
Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics	1
Causal Mediation Analysis With Latent Subgroups for Survival Model	0
A new logarithmic multiplicative distortion for correlation analysis	0
Local support vector machine based dimension reduction	0
Nonparametric mean and variance adaptive classification rule for high‐dimensional data with heteroscedastic variances	0
Detection of Unknown Functional Departure in Generalized Functional Regression	0
Frequentist model averaging for zero‐inflated Poisson regression models	0
Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization	0
Issue Information	0
Specifying composites in structural equation modeling: A refinement of the Henseler–Ogasawara specification	0
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Distributed dimension reduction with nearly oracle rate	0
Nonparametric Bayesian functional clustering with applications to racial disparities in breast cancer	0
Distributionally Conservative Stochastic Dominance via Subsampling	0
Two‐sample testing for random graphs	0
Non‐uniform active learning for Gaussian process models with applications to trajectory informed aerodynamic databases	0
Neural interval‐censored survival regression with feature selection	0
On an Empirical Likelihood Based Solution to the Approximate Bayesian Computation Problem	0
Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization	0
Stratified learning: A general‐purpose statistical method for improved learning under covariate shift	0
Noise‐Augmented ℓ0 Regularization of Tensor Regression With Tucker Decomposition	0
Prompting Shapes the Statistical Tails of LLM ‐Generated Biomedical Data	0
A deep learning approach for the comparison of handwritten documents using latent feature vectors	0
Conformal Multi‐Target Hyperrectangles	0
Assessment of the real‐time pattern recognition capability of machine learning algorithms	0
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Benchmarking of Clustering Validity Measures Revisited	0
Issue Information	0
Bilateral‐WeightedOnline Adaptive Isolation Forest for anomaly detection in streaming data	0
Study of a bounded interval perks distribution with quantile regression analysis	0
Bayesian Frameworks for Explicit Biological Age Estimation	0
Subsampling under distributional constraints	0
Sequential metamodel‐based approaches to level‐set estimation under heteroscedasticity	0
Synthetic Anchoring Under the Specific Source Problem	0
Nonparametric Expectile Regression Meets Deep Neural Networks: A Robust Nonlinear Variable Selection method	0
Feature screening of ultrahigh dimensional longitudinal data based on the C‐statistic	0
An auxiliary Part‐of‐Speech tagger for blog and microblog cyber‐slang	0
BOST ‐ LAWS : A Bayesian Online Spatio‐Temporal Prediction Framework With Likelihood‐Adjusted Weighted Smoothing for D	0
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Using Neural Networks to Identify Mixture Components in Hyperspectral Reflectance Data	0
Nonparametric Linear Discriminant Analysis for High Dimensional Matrix‐Valued Data	0
BOSTON ‐ PUPA : A Bayesian Online Spatio‐Temporal Outbreak Detection Framework With Prior Updating and	0
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Bayesian Quantile Semiparametric Mixed‐Effects Double Regression Models for Analyzing Longitudinal Data With Non‐Ignorable Missing Responses	0
Online learning for streaming data classification in nonstationary environments	0
Node Centrality Inference via Hypothesis Testing	0
A Transformation‐Based Direction Combination Association Test for GWAS Summary Statistics	0
Statistical Shape Analysis of Human Bodies	0
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On Algorithms and Approximations for Progressively Type‐I Censoring Schemes	0
Out‐of‐bag stability estimation for k‐means clustering	0
Monotone Clusters With Ordinal Interpretation	0
Scalable Approximation of the Transformation‐Free Linear Simplicial–Simplicial Regression via Constrained Iterative Reweighted Least Squares	0
Deep Symbolic Learning for Histogram‐Valued Regression Data	0
Robustifying Marginal Linear Models for Correlated Responses Using a Constructive Multivariate Huber Distribution	0
Machine learning and neural network based model predictions of soybean export shares from US Gulf to China	0
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Error‐controlled feature selection for ultrahigh‐dimensional and highly correlated feature space using deep learning	0
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Towards accelerating particle‐resolved direct numerical simulation with neural operators	0
Doubly robust estimation for non‐probability samples with modified intertwined probabilistic factors decoupling	0
Nonlinear Superpopulation Model Inference for Non‐Probability Samples With Nonignorable Missingness	0
Characterizing climate pathways using feature importance on echo state networks	0
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Copula‐Based Deep Learning Models for Competing Risks	0
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Prior effective sample size for exponential family distributions with multiple parameters	0
Individualized image region detection with total variation	0
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Analysis of Correlated Image Features Using Scalar‐On‐Matrix Regression	0
Boosting diversity in regression ensembles	0
Communication Efficient Distributed Bayesian Cluster Learning	0
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A novel two‐step extrapolation‐insertion risk model based on the Expectile under the Pareto‐type distribution	0
Marginal clustered multistate models for longitudinal progressive processes with informative cluster size	0
Issue Information	0
A neutral zone classifier for three classes with an application to text mining	0
Spatially‐correlated time series clustering using location‐dependent Dirichlet process mixture model	0
Classifier Performance on Long‐Tail Distributions	0
Clustering of Longitudinal Data: A Tutorial on a Variety of Approaches	0
Adaptive boosting for ordinal target variables using neural networks	0
Compositional variable selection in quantile regression for microbiome data with false discovery rate control	0
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Variable Selection in Nonparametric Additive Models via Data Splitting	0
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Semi‐supervised multi‐label learning with missing labels by exploiting feature‐label correlations	0
Modeling subpopulations for hierarchically structured data	0
Considerations in Bayesian agent‐based modeling for the analysis of COVID‐19 data	0
Rarity updated ensemble with oversampling: An ensemble approach to classification of imbalanced data streams	0
Revisiting Winnow: A modified online feature selection algorithm for efficient binary classification	0
Transfer Learning Analysis of the Cox Mixture Model	0
Neural Estimation of Treatment Bridge Functions for Proximal Causal Inference	0
Issue Information	0
Randomized algorithms for tensor response regression	0
Identifying Nuclear Data Correlated Through Predicting Bias in Integral Experiments via Applying Principal Component Analysis to Random Forest	0
The generalized hyperbolic family and automatic model selection through the multiple‐choiceLASSO	0
Traditional kriging versus modern Gaussian processes for large‐scale mining data	0
Wasserstein Regression, Forecasting, and Change‐Point Detection for Daily Traffic Flow Distributions	0
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest	0
Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data	0
Buckley–Jamesestimation of generalized additive accelerated lifetime model with ultrahigh‐dimensional data	0
Advancing Coefficient of Variation Estimation Under Additive Distortion Measurement Errors: Exploring New Avenues Beyond Independence Assumptions	0
Cumulative Differences Between Paired Samples	0
A treeless absolutely random forest with closed‐form estimators of expected proximities	0
Categorical classifiers in multiclass classification with imbalanced datasets	0
Correspondence Analysis From the Viewpoint of Compositional Tables	0
Residuals and diagnostics for multinomial regression models	0
Artificial Neural Network Optimization to Estimate Radon in Soil	0
A random forest approach for interval selection in functional regression	0
Computational Improvements to the Kernel k$$ k $$‐Means Clustering Algorithm	0
Smart data augmentation: One equation is all you need	0
Expert‐in‐the‐loop design of integral nuclear data experiments	0
Weighted SurvClipper : Nonlinear Prognostic Biomarker Selection Incorporating Historical Information for Survival Risk With Controlled	0
Mixture‐Based Estimation of Multivariate Data Hypervolume	0
Imputed quantile vector autoregressive model for multivariate spatial–temporal data	0
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Model selection with bootstrap validation	0
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An Adaptive Microbiome‐Based Truncated Test	0
Pointwise Entropy Distributions for Community‐Level Hypothesis Testing in High‐Dimensional and Sparse Microbiome Data	0
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Lq regularization for fair artificial intelligence robust to covariate shift	0
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Matrix‐Variate Skew Normal Distribution: Properties and Estimation	0
EWOUC ‐ NETS ‐ COM : An Efficient Bayesian Adaptive Design for Comb	0
Counterfactual Uncertainty Quantification of Factual Estimand of Efficacy From Before‐and‐After Treatment Repeated Measures Randomized Controlled Trials	0
Issue Information	0
The finite mixture model for the tails of distribution: Monte Carlo experiment and empirical applications	0
Exact Score Vector and Hessian Matrix for Mixtures of Matrix‐Variate Normals	0
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The Classification Algorithm Based on Functional Logistic Regression Model With Spatial Effects and Its Application in Air Quality Analysis	0
Association rules and decision rules	0