Statistical Analysis and Data Mining

Article	Citations
Randomized multiarm bandits: An improved adaptive data collection method	28
Deep Learning for Variable Selection in Censored Quantile Regression Models	20
Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation	20
Testing for the Important Components of Predictive Variance	18
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BayesMultiomics : An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data	9
Issue Information	9
CLADAG 2021 special issue: Selected papers on classification and data analysis	9
Kernel learning with nonconvex ramp loss	8
Model Averaging for Regression Kink Models	7
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Transfer Learning for High‐Dimensional Beta Regression Models	7
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	7
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	6
Rank‐Based Inference for Conditional Independence Graph With Missing Values	6
Testing Hypotheses of Covariate Effects on Topics of Discourse	5
An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	5
Robust Model‐Based Semi‐Supervised Clustering of Incomplete Records	5
Issue Information	5
Variational Autoencoder With Gamma Mixture for Clustering High‐Dimensional Right‐Skewed Data	5
On difference‐based gradient estimation in nonparametric regression	5
Robust and Differentially Private Principal Component Analysis	5
A finely tuned deep transfer learning algorithm to compare outsole images	4
Issue Information	4
Extracting Genetically‐Imputed Causal Features From ECG Data	4

Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	4
Model‐Based Recursive Partitioning for Discrete Event Times	4
Bayesian Dirichlet Process Copula Mixtures for Heterogeneous Multi‐Cluster Data: Methods and an NBA Player Stats Application	4
Robust deep neural network surrogate models with uncertainty quantification via adversarial training	4
Nonparametric clustering of RNA‐sequencing data	4
Bayesian inference for nonprobability samples with nonignorable missingness	4
Input‐response space‐filling designs incorporating response uncertainty	4
Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors	3
The analysis of association rules: Latent class analysis	3
Issue Information	3
Issue Information	3
eRPCA: Robust Principal Component Analysis for Exponential Family Distributions	3
Recovering the Number of Clusters From a Laplacian Matrix by Nuclear Norm Penalization	3
Stabilizing Inference in Dirichlet Regression via Ridge‐Penalized Model	3
Driving mode analysis—How uncertain functional inputs propagate to an output	3
Transfer Learning for Linearized Maximum Rank Correlation Estimation	3
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	3
Interaction Tests With Covariate‐Adaptive Randomization	3
A Novel Approach for APT Detection Based on Ensemble Learning Model	3
Low‐Dimensional Adaptive Neural Network Regression With Directional Change Detection via Nuclear Norm Penalization	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
Semiparametric estimation of average treatment effects in observational studies	2
Constructing Cell‐Type Taxonomy by Optimal Transport With Relaxed Marginal Constraints	2
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Cost‐sensitive classification with time constraint on incomplete data	2
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Data‐driven stochastic model for quantifying the interplay between amyloid‐beta and calcium levels in Alzheimer's disease	2
Simplicial depth and its median: Selected properties and limitations	2
Density estimation via measure transport: Outlook for applications in the biological sciences	2
Online Updating Composite Quantile Regression for Streaming Data	2
Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression	2
Semiparametric detection of changepoints in location, scale, and copula	2
Model Average Estimation of Parameters in Linear Model With Multiple Change Points	2
Large Multi‐Response Linear Regression Estimation Based on Low‐Rank Pre‐Smoothing	2
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction	2
Adaptive Weighted Regularized QRGRU Algorithm and Its Application in Stock Price Prediction	2
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Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies	1
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Issue Information	1
Characterizing climate pathways using feature importance on echo state networks	1
Hierarchy‐assisted gene expression regulatory network analysis	1
A Hybrid Model for Imbalanced Data Classification Using Dynamic Threshold Tuning and Particle Swarm Optimization‐Enhanced Kernel Transformations	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
Coupled support tensor machine classification for multimodal neuroimaging data	1
Online Variable Selection and Parameter Estimation for Massive Data via Square Root Lasso	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
Transfer learning under the Cox model with interval‐censored data	1

Confidence bounds for threshold similarity graph in random variable network	1
Cluster analysis via random partition distributions	1
Modeling matrix variate time series via hidden Markov models with skewed emissions	1
Recursive Random Binning to Detect and Display Pairwise Dependence	1
Individualized image region detection with total variation	1
Buckley–Jamesestimation of generalized additive accelerated lifetime model with ultrahigh‐dimensional data	1
An Efficient Filtering Approach for Model Estimation in Sparse Regression	1
Wasserstein Centroid‐Based Binary Classification for Distributional Data	1
Dynamic Clustering of Multivariate Time Series: Modeling Time‐Varying Memberships	1
Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics	1
Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain	1
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An Adaptable Bayesian Quantile‐Based Regression Framework for Asymmetric Data Structures and Extreme Points	1
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Triangulation‐Based Spatial Clustering for Adjacent Data With Heterogeneous Density	1
Corrigendum	1
Estimation of disease progression for ischemic heart disease using latent Markov with covariates	1
Bayesian batch optimization for molybdenum versus tungsten inertial confinement fusion double shell target design	1
Gaussian process selections in semiparametric multi‐kernel machine regression for multi‐pathway analysis	1
Issue Information	1
Imputed quantile vector autoregressive model for multivariate spatial–temporal data	1
Issue Information	1
A machine learning oracle for parameter estimation	1
Simplicial depth: Characterization and reconstruction	1
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Share density‐based clustering of income data	1
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Survival on Image Regression With Application to Partially Functional Distributional Representation of Physical Activity	1
A Homogeneity Test for Ordinal Receiver Operating Characteristic Regression With Application to Facial Recognition Accuracy Assessment	1
Same/Other/All K‐Fold Cross‐Validation for Estimating Similarity of Patterns in Data Subsets	1
Benchmarking of Clustering Validity Measures Revisited	0
A treeless absolutely random forest with closed‐form estimators of expected proximities	0
The Classification Algorithm Based on Functional Logistic Regression Model With Spatial Effects and Its Application in Air Quality Analysis	0
The generalized hyperbolic family and automatic model selection through the multiple‐choiceLASSO	0
A novel two‐step extrapolation‐insertion risk model based on the Expectile under the Pareto‐type distribution	0
A new logarithmic multiplicative distortion for correlation analysis	0
Subsampling under distributional constraints	0
Error‐controlled feature selection for ultrahigh‐dimensional and highly correlated feature space using deep learning	0
Prior effective sample size for exponential family distributions with multiple parameters	0
Rarity updated ensemble with oversampling: An ensemble approach to classification of imbalanced data streams	0
Issue Information	0
Classifier Performance on Long‐Tail Distributions	0
Frequentist model averaging for zero‐inflated Poisson regression models	0
Nonlinear Superpopulation Model Inference for Non‐Probability Samples With Nonignorable Missingness	0
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Clustering of Longitudinal Data: A Tutorial on a Variety of Approaches	0
Nonparametric mean and variance adaptive classification rule for high‐dimensional data with heteroscedastic variances	0
Correspondence Analysis From the Viewpoint of Compositional Tables	0
Issue Information	0
Stratified learning: A general‐purpose statistical method for improved learning under covariate shift	0
Identifying Nuclear Data Correlated Through Predicting Bias in Integral Experiments via Applying Principal Component Analysis to Random Forest	0
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Noise‐Augmented ℓ0 Regularization of Tensor Regression With Tucker Decomposition	0
An auxiliary Part‐of‐Speech tagger for blog and microblog cyber‐slang	0
The finite mixture model for the tails of distribution: Monte Carlo experiment and empirical applications	0
Neural Estimation of Treatment Bridge Functions for Proximal Causal Inference	0
Cumulative Differences Between Paired Samples	0
Sequential metamodel‐based approaches to level‐set estimation under heteroscedasticity	0
A Transformation‐Based Direction Combination Association Test for GWAS Summary Statistics	0
Compositional variable selection in quantile regression for microbiome data with false discovery rate control	0
Randomized algorithms for tensor response regression	0
Issue Information	0
Issue Information	0
Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data	0
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Towards accelerating particle‐resolved direct numerical simulation with neural operators	0
Node Centrality Inference via Hypothesis Testing	0
Analysis of Correlated Image Features Using Scalar‐On‐Matrix Regression	0
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Local support vector machine based dimension reduction	0
Categorical classifiers in multiclass classification with imbalanced datasets	0
Greenwood Statistic Under Distortion Measurement Errors	0
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
Pointwise Entropy Distributions for Community‐Level Hypothesis Testing in High‐Dimensional and Sparse Microbiome Data	0
Nonparametric Bayesian functional clustering with applications to racial disparities in breast cancer	0
Issue Information	0
Specifying composites in structural equation modeling: A refinement of the Henseler–Ogasawara specification	0

Synthetic Anchoring Under the Specific Source Problem	0
Adaptive boosting for ordinal target variables using neural networks	0
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Computational Improvements to the Kernel k$$ k $$‐Means Clustering Algorithm	0
A deep learning approach for the comparison of handwritten documents using latent feature vectors	0
Online learning for streaming data classification in nonstationary environments	0
Issue Information	0
Deep Symbolic Learning for Histogram‐Valued Regression Data	0
Application of nonparametric quantifiers for online handwritten signature verification: A statistical learning approach	0
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Variable Selection in Nonparametric Additive Models via Data Splitting	0
A novel Bayesian method for variable selection and estimation in binary quantile regression	0
Weighted SurvClipper : Nonlinear Prognostic Biomarker Selection Incorporating Historical Information for Survival Risk With Controlled	0
Spatially‐correlated time series clustering using location‐dependent Dirichlet process mixture model	0
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Issue Information	0
Out‐of‐bag stability estimation for k‐means clustering	0
Two‐sample testing for random graphs	0
Lq regularization for fair artificial intelligence robust to covariate shift	0
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Statistical Shape Analysis of Human Bodies	0
Advancing Coefficient of Variation Estimation Under Additive Distortion Measurement Errors: Exploring New Avenues Beyond Independence Assumptions	0
An Adaptive Microbiome‐Based Truncated Test	0
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Bayesian Quantile Semiparametric Mixed‐Effects Double Regression Models for Analyzing Longitudinal Data With Non‐Ignorable Missing Responses	0
Distributionally Conservative Stochastic Dominance via Subsampling	0
Distributed dimension reduction with nearly oracle rate	0
Artificial Neural Network Optimization to Estimate Radon in Soil	0
Expert‐in‐the‐loop design of integral nuclear data experiments	0
Issue Information	0
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A random forest approach for interval selection in functional regression	0
Semi‐supervised multi‐label learning with missing labels by exploiting feature‐label correlations	0
Marginal clustered multistate models for longitudinal progressive processes with informative cluster size	0
Study of a bounded interval perks distribution with quantile regression analysis	0
Ensemble learning for score likelihood ratios under the common source problem	0
BOSTON ‐ PUPA : A Bayesian Online Spatio‐Temporal Outbreak Detection Framework With Prior Updating and	0
Online embedding and clustering of evolving data streams	0
Robust multitask learning in high dimensions under memory constraint	0
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Machine learning and neural network based model predictions of soybean export shares from US Gulf to China	0
Model selection with bootstrap validation	0
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Nonparametric Expectile Regression Meets Deep Neural Networks: A Robust Nonlinear Variable Selection method	0
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Bilateral‐WeightedOnline Adaptive Isolation Forest for anomaly detection in streaming data	0
Assessment of the real‐time pattern recognition capability of machine learning algorithms	0
Association rules and decision rules	0
On an Empirical Likelihood Based Solution to the Approximate Bayesian Computation Problem	0
Hub‐aware random walk graph embedding methods for classification	0
Smart data augmentation: One equation is all you need	0
Issue Information	0
Boosting diversity in regression ensembles	0
Nonparametric Linear Discriminant Analysis for High Dimensional Matrix‐Valued Data	0
Exact Score Vector and Hessian Matrix for Mixtures of Matrix‐Variate Normals	0
Factor analysis of mixed data for anomaly detection	0
Transfer Learning Analysis of the Cox Mixture Model	0
Robustifying Marginal Linear Models for Correlated Responses Using a Constructive Multivariate Huber Distribution	0
Counterfactual Uncertainty Quantification of Factual Estimand of Efficacy From Before‐and‐After Treatment Repeated Measures Randomized Controlled Trials	0
Using Neural Networks to Identify Mixture Components in Hyperspectral Reflectance Data	0
Modeling subpopulations for hierarchically structured data	0
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Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization	0
A neutral zone classifier for three classes with an application to text mining	0
Issue Information	0
Considerations in Bayesian agent‐based modeling for the analysis of COVID‐19 data	0
Traditional kriging versus modern Gaussian processes for large‐scale mining data	0
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Copula‐Based Deep Learning Models for Competing Risks	0
Feature screening of ultrahigh dimensional longitudinal data based on the C‐statistic	0
Non‐uniform active learning for Gaussian process models with applications to trajectory informed aerodynamic databases	0
Revisiting Winnow: A modified online feature selection algorithm for efficient binary classification	0
Doubly robust estimation for non‐probability samples with modified intertwined probabilistic factors decoupling	0
Residuals and diagnostics for multinomial regression models	0
Neural interval‐censored survival regression with feature selection	0
On Algorithms and Approximations for Progressively Type‐I Censoring Schemes	0
Conformal Multi‐Target Hyperrectangles	0
Detection of Unknown Functional Departure in Generalized Functional Regression	0
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest	0
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