Statistical Analysis and Data Mining

Article	Citations
	430
Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation	27
Sample selection bias in evaluation of prediction performance of causal models	19
Data‐drivensparse partial least squares	17
Modeling and inference for mixtures of simple symmetric exponential families of ‐dimensional distributions for vectors with binary coordinates	15
Predictive models with end user preference	15
Survival trees based on heterogeneity in time‐to‐event and censoring distributions using parameter instability test	12
Randomized multiarm bandits: An improved adaptive data collection method	12
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Issue Information	11
Model Averaging for Regression Kink Models	10
Kernel learning with nonconvex ramp loss	9
Some Bayesian biclustering methods: Modeling and inference	9
Data Twinning	9
BayesMultiomics: An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data	8
CLADAG 2021 special issue: Selected papers on classification and data analysis	8
Optimal ratio for data splitting	7
Negative binomial graphical model with excess zeros	6
An efficientk‐modes algorithm for clustering categorical datasets	6
Tracking clusters and anomalies in evolving data streams	5
Issue Information	5
Multi‐node Expectation–Maximization algorithm for finite mixture models	5
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	5
Weighted AutoEncoding recommender system	5
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	5

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Robust deep neural network surrogate models with uncertainty quantification via adversarial training	4
An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	4
A tree‐based gene–environment interaction analysis with rare features	4
Comparison of merging strategies for building machine learning models on multiple independent gene expression data sets	4
Estimating basis functions in massive fields under the spatial mixed effects model	3
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Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors	3
Local influence analysis for the sliced average third‐moment estimation	3
The fairness‐accuracy Pareto front	3
On difference‐based gradient estimation in nonparametric regression	3
Model‐Based Recursive Partitioning for Discrete Event Times	3
Issue Information	3
Bayesian inference for nonprobability samples with nonignorable missingness	3
Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	3
Input‐response space‐filling designs incorporating response uncertainty	3
A finely tuned deep transfer learning algorithm to compare outsole images	3
Nonparametric clustering of RNA‐sequencing data	3
The analysis of association rules: Latent class analysis	3
Driving mode analysis—How uncertain functional inputs propagate to an output	2
A Novel Approach for APT Detection Based on Ensemble Learning Model	2
Bayesian modeling of location, scale, and shape parameters in skew‐normal regression models	2
eRPCA: Robust Principal Component Analysis for Exponential Family Distributions	2
Biclustering high‐frequency financial time series based on information theory	2
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies	2
Simplicial depth and its median: Selected properties and limitations	2
Cost‐sensitive classification with time constraint on incomplete data	2
Development and validation of models for two‐week mortality of inpatients with COVID‐19 infection: A large prospective cohort study	2
Issue Information	2
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	2
Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression	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
Data‐driven stochastic model for quantifying the interplay between amyloid‐beta and calcium levels in Alzheimer's disease	2
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction	2
Interaction Tests With Covariate‐Adaptive Randomization	2
Sketched Stochastic Dictionary Learning for large‐scale data and application to high‐throughput mass spectrometry	2
Issue Information	2
Density estimation via measure transport: Outlook for applications in the biological sciences	2
Adversarially robust subspace learning in the spiked covariance model	2
Semiparametric detection of changepoints in location, scale, and copula	2
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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
A study of the impact of COVID‐19 on the Chinese stock market based on a new textual multiple ARMA model	1
Gaussian process selections in semiparametric multi‐kernel machine regression for multi‐pathway analysis	1
Cluster analysis via random partition distributions	1
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Weighted validation of heteroscedastic regression models for better selection	1
Multi‐scale affinities with missing data: Estimation and applications	1
Efficient importance sampling imputation algorithms for quantile and composite quantile regression	1

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Residual's influence index (RINFIN), bad leverage and unmasking in high dimensionalL2‐regression	1
Convolutional Sparse Coding for Time Series Via a ℓ0 Penalty: An Efficient Algorithm With Statistical Guarantees	1
Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics	1
Corrigendum	1
A family of mixture models for biclustering	1
Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain	1
Estimation of disease progression for ischemic heart disease using latent Markov with covariates	1
Issue Information	1
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Bayesian batch optimization for molybdenum versus tungsten inertial confinement fusion double shell target design	1
A new parametric approach to gender gap with application to EUSILC data in Poland and Italy	1
Ensembled sparse‐input hierarchical networks for high‐dimensional datasets	1
Online Variable Selection and Parameter Estimation for Massive Data via Square Root Lasso	1
A Homogeneity Test for Ordinal Receiver Operating Characteristic Regression With Application to Facial Recognition Accuracy Assessment	1
Regression‐based Bayesian estimation and structure learning for nonparanormal graphical models	1
Semiparametric estimation of average treatment effects in observational studies	1
Modeling matrix variate time series via hidden Markov models with skewed emissions	1
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Regrouped design in privacy analysis for multinomial microdata	1
Issue Information	1
High‐dimensional classification based on nonparametric maximum likelihood estimation under unknown and inhomogeneous variances	1
Triangulation‐Based Spatial Clustering for Adjacent Data With Heterogeneous Density	1
Confidence bounds for threshold similarity graph in random variable network	1
An automated alignment algorithm for identification of the source of footwear impressions with common class characteristics	1
Simplicial depth: Characterization and reconstruction	1
Share density‐based clustering of income data	1
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Expert‐in‐the‐loop design of integral nuclear data experiments	0
Association rules and decision rules	0
The Classification Algorithm Based on Functional Logistic Regression Model With Spatial Effects and Its Application in Air Quality Analysis	0
An Adaptive Microbiome‐Based Truncated Test	0
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Issue Information	0
Measure inducing classification and regression trees for functional data	0
Multivariate Gaussian RBF‐net for smooth function estimation and variable selection	0
Traditional kriging versus modern Gaussian processes for large‐scale mining data	0
Bilateral‐WeightedOnline Adaptive Isolation Forest for anomaly detection in streaming data	0
Compositional variable selection in quantile regression for microbiome data with false discovery rate control	0
Out‐of‐bag stability estimation for k‐means clustering	0
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Issue Information	0
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Online embedding and clustering of evolving data streams	0
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Assessment of the real‐time pattern recognition capability of machine learning algorithms	0
A general iterative clustering algorithm	0
Modeling subpopulations for hierarchically structured data	0
Spatially‐correlated time series clustering using location‐dependent Dirichlet process mixture model	0
Modal linear regression models with multiplicative distortion measurement errors	0
Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization	0
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Smart data augmentation: One equation is all you need	0
Neural interval‐censored survival regression with feature selection	0
Individualized image region detection with total variation	0
Prior effective sample size for exponential family distributions with multiple parameters	0
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Greenwood Statistic Under Distortion Measurement Errors	0
Issue Information	0
Hierarchy‐assisted gene expression regulatory network analysis	0
Power grid frequency prediction using spatiotemporal modeling	0
Using Neural Networks to Identify Mixture Components in Hyperspectral Reflectance Data	0
A fast and efficient Modal EM algorithm for Gaussian mixtures	0
Issue Information	0
Fourier neural networks as function approximators and differential equation solvers	0
A linear time method for the detection of collective and point anomalies	0
Frequentist model averaging for zero‐inflated Poisson regression models	0
Towards accelerating particle‐resolved direct numerical simulation with neural operators	0
A machine learning oracle for parameter estimation	0
Precision aggregated local models	0
A tutorial on generative adversarial networks with application to classification of imbalanced data	0
Non‐uniform active learning for Gaussian process models with applications to trajectory informed aerodynamic databases	0
Marginal clustered multistate models for longitudinal progressive processes with informative cluster size	0
Revisiting Winnow: A modified online feature selection algorithm for efficient binary classification	0
Lq regularization for fair artificial intelligence robust to covariate shift	0
Error‐controlled feature selection for ultrahigh‐dimensional and highly correlated feature space using deep learning	0
Handwriting identification using random forests and score‐based likelihood ratios	0
Factor analysis for high‐dimensional time series: Consistent estimation and efficient computation	0
Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data	0

Identifying Nuclear Data Correlated Through Predicting Bias in Integral Experiments via Applying Principal Component Analysis to Random Forest	0
Issue Information	0
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Considerations in Bayesian agent‐based modeling for the analysis of COVID‐19 data	0
A modified least angle regression algorithm for interaction selection with heredity	0
A new logarithmic multiplicative distortion for correlation analysis	0
Two‐sample testing for random graphs	0
Nonparametric mean and variance adaptive classification rule for high‐dimensional data with heteroscedastic variances	0
Local support vector machine based dimension reduction	0
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Issue Information	0
Categorical classifiers in multiclass classification with imbalanced datasets	0
CLADAG 2019 Special Issue: Selected Papers on Classification and Data Analysis	0
Randomized algorithms for tensor response regression	0
Hub‐aware random walk graph embedding methods for classification	0
Machine learning and neural network based model predictions of soybean export shares from US Gulf to China	0
A novel two‐step extrapolation‐insertion risk model based on the Expectile under the Pareto‐type distribution	0
Nonparametric Bayesian functional clustering with applications to racial disparities in breast cancer	0
Imputed quantile vector autoregressive model for multivariate spatial–temporal data	0
A deep learning approach for the comparison of handwritten documents using latent feature vectors	0
Subsampling under distributional constraints	0
Robust multitask learning in high dimensions under memory constraint	0
Issue Information	0
Buckley–Jamesestimation of generalized additive accelerated lifetime model with ultrahigh‐dimensional data	0
A random forest approach for interval selection in functional regression	0
Issue Information	0
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Specifying composites in structural equation modeling: A refinement of the Henseler–Ogasawara specification	0
Penalized composite likelihood for colored graphical Gaussian models	0
Boosting diversity in regression ensembles	0
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Residuals and diagnostics for multinomial regression models	0
Transfer learning under the Cox model with interval‐censored data	0
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Semi‐supervised multi‐label learning with missing labels by exploiting feature‐label correlations	0
Analyzing relevance vector machines using a single penalty approach	0
Noise‐Augmented ℓ0 Regularization of Tensor Regression With Tucker Decomposition	0
The finite mixture model for the tails of distribution: Monte Carlo experiment and empirical applications	0
Parallel coordinate order forhigh‐dimensionaldata	0
Sequential metamodel‐based approaches to level‐set estimation under heteroscedasticity	0
Issue Information	0
Nonparametric Expectile Regression Meets Deep Neural Networks: A Robust Nonlinear Variable Selection method	0
Node Centrality Inference via Hypothesis Testing	0
An auxiliary Part‐of‐Speech tagger for blog and microblog cyber‐slang	0
Issue Information	0
Robustifying Marginal Linear Models for Correlated Responses Using a Constructive Multivariate Huber Distribution	0
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Neural‐networktransformation models for counting processes	0
Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization	0
Online learning for streaming data classification in nonstationary environments	0
Portability analysis of data mining models for fog events forecasting	0
Factor analysis of mixed data for anomaly detection	0
Feature screening of ultrahigh dimensional longitudinal data based on the C‐statistic	0
Application of nonparametric quantifiers for online handwritten signature verification: A statistical learning approach	0
Adaptive boosting for ordinal target variables using neural networks	0
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Imbalanced classification: A paradigm‐based review	0
BOSTON‐PUPA: A Bayesian Online Spatio‐Temporal Outbreak Detection Framework With Prior Updating and p‐Value Adaptation	0
A treeless absolutely random forest with closed‐form estimators of expected proximities	0
Issue Information	0
Model selection with bootstrap validation	0
Doubly robust estimation for non‐probability samples with modified intertwined probabilistic factors decoupling	0
The generalized hyperbolic family and automatic model selection through the multiple‐choiceLASSO	0
Study of a bounded interval perks distribution with quantile regression analysis	0
Issue Information	0
A novel Bayesian method for variable selection and estimation in binary quantile regression	0
Characterizing climate pathways using feature importance on echo state networks	0
On an Empirical Likelihood Based Solution to the Approximate Bayesian Computation Problem	0
Issue Information	0
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest	0
Application of the Cox proportional hazards model and competing risks models to critical illness insurance data	0
Issue Information	0
Adaptive batching for Gaussian process surrogates with application in noisy level set estimation	0
Issue Information	0
Distributed dimension reduction with nearly oracle rate	0
An Efficient Filtering Approach for Model Estimation in Sparse Regression	0
Feature selection for imbalanced data with deep sparse autoencoders ensemble	0
On Algorithms and Approximations for Progressively Type‐I Censoring Schemes	0
Ensemble learning for score likelihood ratios under the common source problem	0
Bag of little bootstraps for massive and distributed longitudinal data	0
Intuitively adaptable outlier detector	0
Detection of Unknown Functional Departure in Generalized Functional Regression	0
Stratified learning: A general‐purpose statistical method for improved learning under covariate shift	0
Rarity updated ensemble with oversampling: An ensemble approach to classification of imbalanced data streams	0
Issue Information	0
Conformal Multi‐Target Hyperrectangles	0
Coefficient tree regression for generalized linear models	0
A neutral zone classifier for three classes with an application to text mining	0