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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BayesMultiomics : An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data	9
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CLADAG 2021 special issue: Selected papers on classification and data analysis	9
Model Averaging for Regression Kink Models	8
Kernel learning with nonconvex ramp loss	8
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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
Rank‐Based Inference for Conditional Independence Graph With Missing Values	7
Robust Model‐Based Semi‐Supervised Clustering of Incomplete Records	6
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	5
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
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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
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Extracting Genetically‐Imputed Causal Features From ECG Data	4
Model‐Based Recursive Partitioning for Discrete Event Times	4
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
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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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
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
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
A Hybrid Model for Imbalanced Data Classification Using Dynamic Threshold Tuning and Particle Swarm Optimization‐Enhanced Kernel Transformations	1
STEC ‐Net: A Spatiotemporal Graph Neural Framework for Community Discovery in Dynamic Social Networks	1
Triangulation‐Based Spatial Clustering for Adjacent Data With Heterogeneous Density	1
A Homogeneity Test for Ordinal Receiver Operating Characteristic Regression With Application to Facial Recognition Accuracy Assessment	1
Share density‐based clustering of income data	1
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Recursive Random Binning to Detect and Display Pairwise Dependence	1
Pattern Matching for Multivariate Time Series Forecasting	1

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