Wiley Interdisciplinary Reviews-Computational Statistics

Papers
(The median citation count of Wiley Interdisciplinary Reviews-Computational Statistics is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
A systematic review of exploratory factor analysis packages in R software125
86
The Mollified (Discrete) Uniform Distribution and Its Applications53
48
Projection‐based techniques for high‐dimensional optimal transport problems41
Recent methods on short text stream clustering: A survey study41
Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis35
Issue Information33
Forensic Science and How Statistics Can Help It32
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A Bayesian theory of mind approach to modeling cooperation and communication22
Review of Simulation Studies Evaluating Imputation Methods in High‐Dimensional Datasets19
Digital Twins in Modern Healthcare: A Comprehensive Review of Architectures, Applications, and Challenges18
Robust regression using probabilistically linked data18
17
From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis16
A journey from univariate to multivariate functional time series: A comprehensive review15
Orthogonal Arrays: A Review15
A review of Monte Carlo and quasi‐Monte Carlo sampling techniques15
Issue Information13
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Learning the sparse prior: Modern approaches12
The discrete empirical interpolation method in class identification and data summarization11
A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges11
Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging10
Unsupervised clustering using nonparametric finite mixture models9
Merging two cultures: Deep and statistical learning9
Contrastive Dimension Reduction: A Systematic Review8
Quality‐Diversity Methods for the Modern Data Scientist8
7
Error control in tree structured hypothesis testing7
Convergence rates of Metropolis–Hastings algorithms7
OMARS Designs for Factor Screening and Response Surface Experimentation in One Step: A Review7
A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics7
Theoretical Perspectives on Knowledge Distillation: A Review7
Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)7
A Guide to Designing Experiments to Test Statistical Graphics7
Sequential Monte Carlo optimization and statistical inference6
Vector AutoRegressive Moving Average Models: A Review6
Halfspace Depth6
On unbiasedness and biasedness of the Wilcoxon and some nonparametric tests5
5
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The promise and limitations of formal privacy5
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5
Sequential change‐point detection: Computation versus statistical performance4
Nonidentifiability of Within‐Cluster Dependence Parameters in Analytic Survey Inference4
Data Analysis Using the Concentration Function4
Optimal Experimental Designs for Sparse Functional Data: A Review4
Issue Information4
Text Mining in Bibliometrics and Science Mapping: A Methodological Review4
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Federated Learning: Examining Statistical Operating Characteristics in the Context of Privacy‐Preserving Information Sharing4
Correction to “A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics”4
Issue Information4
Hidden Truncation Models: Theory and Applications3
A review of N‐mixture models3
A Review of Recent Advances in High‐Dimensional Quantile Regression3
Surrogate Endpoints in Drug Development: A Review of Statistical and Regulatory Perspectives and Applications3
A survey of numerical algorithms that can solve the Lasso problems3
Tolerance limits for mixture‐of‐normal distributions with application to COVID‐19 data3
Statistical Process Monitoring Based on Functional Data Analysis3
Subgroup Identification via Multiple Change Point Detection: Methods and Applications3
Cluster analysis: A modern statistical review3
A spectrum of explainable and interpretable machine learning approaches for genomic studies3
A review on computer model calibration3
Advances in Continual Graph Learning for Anti‐Money Laundering Systems: A Comprehensive Review2
A Systematic Review and Comparative Study of R Packages for Ordinal Response Regression Models2
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Recent advances on mechanisms of network generation: Community, exchangeability, and scale‐free properties2
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Sampling constrained continuous probability distributions: A review2
A review and comparison of arm‐based versus contrast‐based network meta‐analysis for binary outcomes—Understanding their differences and limitations2
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A survey on post‐quantum based approaches for edge computing security2
Breaking the Complexity of Cancer Using Computational Transcriptomic Network Biology2
On the Foundational Arguments of Sufficient Dimension Reduction2
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2
Information criteria for model selection2
Advances in Modal Regression: From Theoretical Foundations to Practical Implementations1
Functional Data Analysis Applications in Medicine: A Systematic Review1
A Review of Tree‐Based Methods for Analyzing Survey Data1
Robust discriminant analysis1
1
Robust clustering based on trimming1
Issue Information1
Variable Selection for Prediction in Clinical Research1
Combining surveys in small area estimation using area‐level models1
Temporal Interference Stimulation: Mechanisms, Optimization, Validation, and Clinical Prospects—A Comprehensive Review1
A review of normalization and differential abundance methods for microbiome counts data1
Functional neuroimaging in the era of Big Data and Open Science: A modern overview1
1
1
Instructional Applet Collections for Statistics Education1
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