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
	15
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
Issue Information	7
Weighted AutoEncoding recommender system	7
Data Twinning	7
	7
Optimal ratio for data splitting	7
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	7
Issue Information	6
Rank‐Based Inference for Conditional Independence Graph With Missing Values	5
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	5
On difference‐based gradient estimation in nonparametric regression	4
Robust deep neural network surrogate models with uncertainty quantification via adversarial training	4
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	3
Issue Information	3
Extracting Genetically‐Imputed Causal Features From ECG Data	3
Issue Information	3

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
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 Novel Approach for APT Detection Based on Ensemble Learning Model	2
Issue Information	2
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
	2
Issue Information	2
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
	2
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 Homogeneity Test for Ordinal Receiver Operating Characteristic Regression With Application to Facial Recognition Accuracy Assessment	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
	1
Share density‐based clustering of income data	1
Recursive Random Binning to Detect and Display Pairwise Dependence	1
	1
Issue Information	1
Confidence bounds for threshold similarity graph in random variable network	1
Convolutional Sparse Coding for Time Series Via a ℓ0 Penalty: An Efficient Algorithm With Statistical Guarantees	1
Corrigendum	1
	1
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
	1
Simplicial depth: Characterization and reconstruction	1
Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics	1
Regression‐based Bayesian estimation and structure learning for nonparanormal graphical models	1
A study of the impact of COVID‐19 on the Chinese stock market based on a new textual multiple ARMA model	1
	1
Modeling matrix variate time series via hidden Markov models with skewed emissions	1
Cluster analysis via random partition distributions	1
Issue Information	1
Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain	1
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
Online Variable Selection and Parameter Estimation for Massive Data via Square Root Lasso	1
Gaussian process selections in semiparametric multi‐kernel machine regression for multi‐pathway analysis	1
	1
	1
Dynamic Clustering of Multivariate Time Series: Modeling Time‐Varying Memberships	1
A new parametric approach to gender gap with application to EUSILC data in Poland and Italy	1
Distributionally Conservative Stochastic Dominance via Subsampling	0
Counterfactual Uncertainty Quantification of Factual Estimand of Efficacy From Before‐and‐After Treatment Repeated Measures Randomized Controlled Trials	0
Correspondence Analysis From the Viewpoint of Compositional Tables	0
Nonparametric Expectile Regression Meets Deep Neural Networks: A Robust Nonlinear Variable Selection method	0
Detection of Unknown Functional Departure in Generalized Functional Regression	0
	0
Issue Information	0
Issue Information	0
Issue Information	0
Nonlinear Superpopulation Model Inference for Non‐Probability Samples With Nonignorable Missingness	0
Categorical classifiers in multiclass classification with imbalanced datasets	0
The finite mixture model for the tails of distribution: Monte Carlo experiment and empirical applications	0
	0
Nonparametric mean and variance adaptive classification rule for high‐dimensional data with heteroscedastic variances	0
Nonparametric Bayesian functional clustering with applications to racial disparities in breast cancer	0
Online embedding and clustering of evolving data streams	0
Marginal clustered multistate models for longitudinal progressive processes with informative cluster size	0
Issue Information	0
	0
Hub‐aware random walk graph embedding methods for classification	0
Application of nonparametric quantifiers for online handwritten signature verification: A statistical learning approach	0
Smart data augmentation: One equation is all you need	0
	0
Greenwood Statistic Under Distortion Measurement Errors	0
A random forest approach for interval selection in functional regression	0
Characterizing climate pathways using feature importance on echo state networks	0
Computational Improvements to the Kernel k$$ k $$‐Means Clustering Algorithm	0
Artificial Neural Network Optimization to Estimate Radon in Soil	0
Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization	0
Hierarchy‐assisted gene expression regulatory network analysis	0
	0
Towards accelerating particle‐resolved direct numerical simulation with neural operators	0
	0
Compositional variable selection in quantile regression for microbiome data with false discovery rate control	0
Issue Information	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
Online learning for streaming data classification in nonstationary environments	0
BOSTON‐PUPA: A Bayesian Online Spatio‐Temporal Outbreak Detection Framework With Prior Updating and p‐Value Adaptation	0
Ensembled sparse‐input hierarchical networks for high‐dimensional datasets	0
Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data	0
Lq regularization for fair artificial intelligence robust to covariate shift	0
On Algorithms and Approximations for Progressively Type‐I Censoring Schemes	0
Specifying composites in structural equation modeling: A refinement of the Henseler–Ogasawara specification	0
Expert‐in‐the‐loop design of integral nuclear data experiments	0
A tutorial on generative adversarial networks with application to classification of imbalanced data	0
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
Robustifying Marginal Linear Models for Correlated Responses Using a Constructive Multivariate Huber Distribution	0
Measure inducing classification and regression trees for functional data	0
Traditional kriging versus modern Gaussian processes for large‐scale mining data	0
Classifier Performance on Long‐Tail Distributions	0
	0
A new logarithmic multiplicative distortion for correlation analysis	0
A modified least angle regression algorithm for interaction selection with heredity	0
	0
Randomized algorithms for tensor response regression	0

A treeless absolutely random forest with closed‐form estimators of expected proximities	0
Model selection with bootstrap validation	0
Issue Information	0
	0
Issue Information	0
Neural interval‐censored survival regression with feature selection	0
Feature selection for imbalanced data with deep sparse autoencoders ensemble	0
Subsampling under distributional constraints	0
Out‐of‐bag stability estimation for k‐means clustering	0
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest	0
Prior effective sample size for exponential family distributions with multiple parameters	0
Individualized image region detection with total variation	0
Issue Information	0
Buckley–Jamesestimation of generalized additive accelerated lifetime model with ultrahigh‐dimensional data	0
Ensemble learning for score likelihood ratios under the common source problem	0
A deep learning approach for the comparison of handwritten documents using latent feature vectors	0
Issue Information	0
Distributed dimension reduction with nearly oracle rate	0
Frequentist model averaging for zero‐inflated Poisson regression models	0
Study of a bounded interval perks distribution with quantile regression analysis	0
A machine learning oracle for parameter estimation	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
Issue Information	0
Issue Information	0
Transfer learning under the Cox model with interval‐censored 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
Sequential metamodel‐based approaches to level‐set estimation under heteroscedasticity	0
Node Centrality Inference via Hypothesis Testing	0
An Efficient Filtering Approach for Model Estimation in Sparse Regression	0
Neural‐networktransformation models for counting processes	0
An auxiliary Part‐of‐Speech tagger for blog and microblog cyber‐slang	0
Local support vector machine based dimension reduction	0
Imputed quantile vector autoregressive model for multivariate spatial–temporal data	0
Neural Estimation of Treatment Bridge Functions for Proximal Causal Inference	0
Rarity updated ensemble with oversampling: An ensemble approach to classification of imbalanced data streams	0
Semi‐supervised multi‐label learning with missing labels by exploiting feature‐label correlations	0
Error‐controlled feature selection for ultrahigh‐dimensional and highly correlated feature space using deep learning	0
Considerations in Bayesian agent‐based modeling for the analysis of COVID‐19 data	0
	0
Issue Information	0
Deep Symbolic Learning for Histogram‐Valued Regression Data	0
Bilateral‐WeightedOnline Adaptive Isolation Forest for anomaly detection in streaming data	0
Feature screening of ultrahigh dimensional longitudinal data based on the C‐statistic	0
A novel two‐step extrapolation‐insertion risk model based on the Expectile under the Pareto‐type distribution	0
An Adaptive Microbiome‐Based Truncated Test	0
Handwriting identification using random forests and score‐based likelihood ratios	0
A general iterative clustering algorithm	0
Spatially‐correlated time series clustering using location‐dependent Dirichlet process mixture model	0
Conformal Multi‐Target Hyperrectangles	0
Issue Information	0
Identifying Nuclear Data Correlated Through Predicting Bias in Integral Experiments via Applying Principal Component Analysis to Random Forest	0
Robust multitask learning in high dimensions under memory constraint	0
	0
Issue Information	0
Factor analysis of mixed data for anomaly detection	0
Doubly robust estimation for non‐probability samples with modified intertwined probabilistic factors decoupling	0
On an Empirical Likelihood Based Solution to the Approximate Bayesian Computation Problem	0
The generalized hyperbolic family and automatic model selection through the multiple‐choiceLASSO	0
Assessment of the real‐time pattern recognition capability of machine learning algorithms	0
Issue Information	0
A novel Bayesian method for variable selection and estimation in binary quantile regression	0
Boosting diversity in regression ensembles	0
Machine learning and neural network based model predictions of soybean export shares from US Gulf to China	0
Noise‐Augmented ℓ0 Regularization of Tensor Regression With Tucker Decomposition	0
Issue Information	0
Two‐sample testing for random graphs	0
Wasserstein Centroid‐Based Binary Classification for Distributional Data	0
Using Neural Networks to Identify Mixture Components in Hyperspectral Reflectance Data	0
Residuals and diagnostics for multinomial regression models	0
Adaptive boosting for ordinal target variables using neural networks	0
A linear time method for the detection of collective and point anomalies	0
Intuitively adaptable outlier detector	0
	0
A neutral zone classifier for three classes with an application to text mining	0
Revisiting Winnow: A modified online feature selection algorithm for efficient binary classification	0
Modeling subpopulations for hierarchically structured data	0
Statistical Shape Analysis of Human Bodies	0
	0
Portability analysis of data mining models for fog events forecasting	0
Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization	0