Statistical Analysis and Data Mining

Article	Citations
Randomized multiarm bandits: An improved adaptive data collection method	31
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	18
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Issue Information	9
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
Model Averaging for Regression Kink Models	8
Kernel learning with nonconvex ramp loss	8
Transfer Learning for High‐Dimensional Beta Regression Models	7
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	7
Rank‐Based Inference for Conditional Independence Graph With Missing Values	7
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Robust Model‐Based Semi‐Supervised Clustering of Incomplete Records	6
Robust and Differentially Private Principal Component Analysis	5
Bayesian Dirichlet Process Copula Mixtures for Heterogeneous Multi‐Cluster Data: Methods and an NBA Player Stats Application	5
Testing Hypotheses of Covariate Effects on Topics of Discourse	5
On difference‐based gradient estimation in nonparametric regression	5
Robust deep neural network surrogate models with uncertainty quantification via adversarial training	5
Issue Information	5
Variational Autoencoder With Gamma Mixture for Clustering High‐Dimensional Right‐Skewed Data	5
Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	5
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	5
A finely tuned deep transfer learning algorithm to compare outsole images	4

An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	4
Bayesian inference for nonprobability samples with nonignorable missingness	4
Input‐response space‐filling designs incorporating response uncertainty	4
Issue Information	4
Extracting Genetically‐Imputed Causal Features From ECG Data	4
Model‐Based Recursive Partitioning for Discrete Event Times	4
Recovering the Number of Clusters From a Laplacian Matrix by Nuclear Norm Penalization	3
eRPCA: Robust Principal Component Analysis for Exponential Family Distributions	3
Stabilizing Inference in Dirichlet Regression via Ridge‐Penalized Model	3
Wavelet‐Based Single‐Index Additive Models With Irregular Link and Additive Functions	3
Online Updating Composite Quantile Regression for Streaming Data	3
Driving mode analysis—How uncertain functional inputs propagate to an output	3
Transfer Learning for Linearized Maximum Rank Correlation Estimation	3
The analysis of association rules: Latent class analysis	3
Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors	3
A Novel Approach for APT Detection Based on Ensemble Learning Model	3
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Interaction Tests With Covariate‐Adaptive Randomization	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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Adaptive Weighted Regularized QRGRU Algorithm and Its Application in Stock Price Prediction	3
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Bayesian batch optimization for molybdenum versus tungsten inertial confinement fusion double shell target design	2
Unsupervised Time‐Event Probabilistic Classification Using Large Panels of Time Series	2
Low‐Dimensional Adaptive Neural Network Regression With Directional Change Detection via Nuclear Norm Penalization	2
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Simplicial depth and its median: Selected properties and limitations	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
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Density estimation via measure transport: Outlook for applications in the biological sciences	2
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction	2
Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression	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
Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain	2
Semiparametric estimation of average treatment effects in observational studies	2
Semiparametric detection of changepoints in location, scale, and copula	2
Cost‐sensitive classification with time constraint on incomplete data	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
Constructing Cell‐Type Taxonomy by Optimal Transport With Relaxed Marginal Constraints	2
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Issue Information	1
An Efficient Filtering Approach for Model Estimation in Sparse Regression	1
Score Tests for Overdispersion in Marginalized Zero‐Inflated Poisson Regression Based on Marginalized Zero‐Inflated Generalized Poisson Model	1
New Robust M‐Estimator for Random‐Coefficients Panel Data Model: Algorithms, Simulation, and Application to Insurance Data	1
Survival on Image Regression With Application to Partially Functional Distributional Representation of Physical Activity	1
Simplicial depth: Characterization and reconstruction	1
Modeling matrix variate time series via hidden Markov models with skewed emissions	1

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Dynamic Clustering of Multivariate Time Series: Modeling Time‐Varying Memberships	1
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Corrigendum	1
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Cluster analysis via random partition distributions	1
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A machine learning oracle for parameter estimation	1
Wasserstein Centroid‐Based Binary Classification for Distributional Data	1
Online Variable Selection and Parameter Estimation for Massive Data via Square Root Lasso	1
Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics	1
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An automated alignment algorithm for identification of the source of footwear impressions with common class characteristics	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
Gaussian process selections in semiparametric multi‐kernel machine regression for multi‐pathway analysis	1
STEC ‐Net: A Spatiotemporal Graph Neural Framework for Community Discovery in Dynamic Social Networks	1
An Adaptable Bayesian Quantile‐Based Regression Framework for Asymmetric Data Structures and Extreme Points	1
A Homogeneity Test for Ordinal Receiver Operating Characteristic Regression With Application to Facial Recognition Accuracy Assessment	1
Imputed quantile vector autoregressive model for multivariate spatial–temporal data	1
Hierarchy‐assisted gene expression regulatory network analysis	1
Transfer learning under the Cox model with interval‐censored data	1
A Hybrid Model for Imbalanced Data Classification Using Dynamic Threshold Tuning and Particle Swarm Optimization‐Enhanced Kernel Transformations	1
Triangulation‐Based Spatial Clustering for Adjacent Data With Heterogeneous Density	1
Share density‐based clustering of income data	1
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Pattern Matching for Multivariate Time Series Forecasting	1
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Same/Other/All K‐Fold Cross‐Validation for Estimating Similarity of Patterns in Data Subsets	1
Confidence bounds for threshold similarity graph in random variable network	1
Estimation of disease progression for ischemic heart disease using latent Markov with covariates	1
Recursive Random Binning to Detect and Display Pairwise Dependence	1
Bilateral‐WeightedOnline Adaptive Isolation Forest for anomaly detection in streaming data	0
Synthetic Anchoring Under the Specific Source Problem	0
Error‐controlled feature selection for ultrahigh‐dimensional and highly correlated feature space using deep learning	0
Two‐sample testing for random graphs	0
A treeless absolutely random forest with closed‐form estimators of expected proximities	0
A deep learning approach for the comparison of handwritten documents using latent feature vectors	0
Deep Symbolic Learning for Histogram‐Valued Regression Data	0
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Application of nonparametric quantifiers for online handwritten signature verification: A statistical learning approach	0
Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization	0
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Hub‐aware random walk graph embedding methods for classification	0
Spatially‐correlated time series clustering using location‐dependent Dirichlet process mixture model	0
Marginal clustered multistate models for longitudinal progressive processes with informative cluster size	0
Clustering of Longitudinal Data: A Tutorial on a Variety of Approaches	0
Towards accelerating particle‐resolved direct numerical simulation with neural operators	0
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Distributionally Conservative Stochastic Dominance via Subsampling	0
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Smart data augmentation: One equation is all you need	0
Counterfactual Uncertainty Quantification of Factual Estimand of Efficacy From Before‐and‐After Treatment Repeated Measures Randomized Controlled Trials	0
The Classification Algorithm Based on Functional Logistic Regression Model With Spatial Effects and Its Application in Air Quality Analysis	0
Identifying Nuclear Data Correlated Through Predicting Bias in Integral Experiments via Applying Principal Component Analysis to Random Forest	0
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Revisiting Winnow: A modified online feature selection algorithm for efficient binary classification	0
Modeling subpopulations for hierarchically structured data	0
Bayesian Quantile Semiparametric Mixed‐Effects Double Regression Models for Analyzing Longitudinal Data With Non‐Ignorable Missing Responses	0
A neutral zone classifier for three classes with an application to text mining	0
On Algorithms and Approximations for Progressively Type‐I Censoring Schemes	0
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Causal Mediation Analysis With Latent Subgroups for Survival Model	0
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Traditional kriging versus modern Gaussian processes for large‐scale mining data	0
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Expert‐in‐the‐loop design of integral nuclear data experiments	0
Feature screening of ultrahigh dimensional longitudinal data based on the C‐statistic	0
Weighted SurvClipper : Nonlinear Prognostic Biomarker Selection Incorporating Historical Information for Survival Risk With Controlled	0
Rarity updated ensemble with oversampling: An ensemble approach to classification of imbalanced data streams	0
Online embedding and clustering of evolving data streams	0
Doubly robust estimation for non‐probability samples with modified intertwined probabilistic factors decoupling	0
Robustifying Marginal Linear Models for Correlated Responses Using a Constructive Multivariate Huber Distribution	0
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A novel two‐step extrapolation‐insertion risk model based on the Expectile under the Pareto‐type distribution	0
Nonparametric Expectile Regression Meets Deep Neural Networks: A Robust Nonlinear Variable Selection method	0

Stratified learning: A general‐purpose statistical method for improved learning under covariate shift	0
Greenwood Statistic Under Distortion Measurement Errors	0
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Association rules and decision rules	0
Assessment of the real‐time pattern recognition capability of machine learning algorithms	0
Robust multitask learning in high dimensions under memory constraint	0
On an Empirical Likelihood Based Solution to the Approximate Bayesian Computation Problem	0
Specifying composites in structural equation modeling: A refinement of the Henseler–Ogasawara specification	0
Subsampling under distributional constraints	0
Neural interval‐censored survival regression with feature selection	0
Boosting diversity in regression ensembles	0
Characterizing climate pathways using feature importance on echo state networks	0
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A new logarithmic multiplicative distortion for correlation analysis	0
Detection of Unknown Functional Departure in Generalized Functional Regression	0
Individualized image region detection with total variation	0
Variable Selection in Nonparametric Additive Models via Data Splitting	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
Out‐of‐bag stability estimation for k‐means clustering	0
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An auxiliary Part‐of‐Speech tagger for blog and microblog cyber‐slang	0
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Wasserstein Regression, Forecasting, and Change‐Point Detection for Daily Traffic Flow Distributions	0
Study of a bounded interval perks distribution with quantile regression analysis	0
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Copula‐Based Deep Learning Models for Competing Risks	0
Sequential metamodel‐based approaches to level‐set estimation under heteroscedasticity	0
A linear time method for the detection of collective and point anomalies	0
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Considerations in Bayesian agent‐based modeling for the analysis of COVID‐19 data	0
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Correspondence Analysis From the Viewpoint of Compositional Tables	0
Frequentist model averaging for zero‐inflated Poisson regression models	0
Mixture‐Based Estimation of Multivariate Data Hypervolume	0
BOST ‐ LAWS : A Bayesian Online Spatio‐Temporal Prediction Framework With Likelihood‐Adjusted Weighted Smoothing for D	0
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Nonparametric mean and variance adaptive classification rule for high‐dimensional data with heteroscedastic variances	0
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Benchmarking of Clustering Validity Measures Revisited	0
Artificial Neural Network Optimization to Estimate Radon in Soil	0
Using Neural Networks to Identify Mixture Components in Hyperspectral Reflectance Data	0
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest	0
Model selection with bootstrap validation	0
Computational Improvements to the Kernel k$$ k $$‐Means Clustering Algorithm	0
Neural Estimation of Treatment Bridge Functions for Proximal Causal Inference	0
Nonparametric Bayesian functional clustering with applications to racial disparities in breast cancer	0
Prior effective sample size for exponential family distributions with multiple parameters	0
The generalized hyperbolic family and automatic model selection through the multiple‐choiceLASSO	0
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Ensemble learning for score likelihood ratios under the common source problem	0
Nonlinear Superpopulation Model Inference for Non‐Probability Samples With Nonignorable Missingness	0
Buckley–Jamesestimation of generalized additive accelerated lifetime model with ultrahigh‐dimensional data	0
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A novel Bayesian method for variable selection and estimation in binary quantile regression	0
A random forest approach for interval selection in functional regression	0
Conformal Multi‐Target Hyperrectangles	0
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Noise‐Augmented ℓ0 Regularization of Tensor Regression With Tucker Decomposition	0
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Residuals and diagnostics for multinomial regression models	0
Machine learning and neural network based model predictions of soybean export shares from US Gulf to China	0
Exact Score Vector and Hessian Matrix for Mixtures of Matrix‐Variate Normals	0
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Semi‐supervised multi‐label learning with missing labels by exploiting feature‐label correlations	0
Transfer Learning Analysis of the Cox Mixture Model	0
Non‐uniform active learning for Gaussian process models with applications to trajectory informed aerodynamic databases	0
Lq regularization for fair artificial intelligence robust to covariate shift	0
Node Centrality Inference via Hypothesis Testing	0
A Transformation‐Based Direction Combination Association Test for GWAS Summary Statistics	0
Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data	0
Local support vector machine based dimension reduction	0
The finite mixture model for the tails of distribution: Monte Carlo experiment and empirical applications	0
Compositional variable selection in quantile regression for microbiome data with false discovery rate control	0
An Adaptive Microbiome‐Based Truncated Test	0
Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization	0
Matrix‐Variate Skew Normal Distribution: Properties and Estimation	0
Statistical Shape Analysis of Human Bodies	0
Distributed dimension reduction with nearly oracle rate	0
Analysis of Correlated Image Features Using Scalar‐On‐Matrix Regression	0
Online learning for streaming data classification in nonstationary environments	0
Categorical classifiers in multiclass classification with imbalanced datasets	0
Cumulative Differences Between Paired Samples	0
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Advancing Coefficient of Variation Estimation Under Additive Distortion Measurement Errors: Exploring New Avenues Beyond Independence Assumptions	0
Adaptive boosting for ordinal target variables using neural networks	0
Pointwise Entropy Distributions for Community‐Level Hypothesis Testing in High‐Dimensional and Sparse Microbiome Data	0
Classifier Performance on Long‐Tail Distributions	0
Randomized algorithms for tensor response regression	0