Wiley Interdisciplinary Reviews-Computational Statistics

Papers
(The median citation count of Wiley Interdisciplinary Reviews-Computational Statistics is 0. 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 2021-02-01 to 2025-02-01.)
ArticleCitations
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Particle swarm optimization for searching efficient experimental designs: A review34
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SAREV: A review on statistical analytics of single‐cell RNA sequencing data25
Editorial18
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Bayesian modeling of multivariate time series of counts15
Bayesian estimation methods for survey data with potential applications to health disparities research15
A systematic review of exploratory factor analysis packages in R software12
Unsupervised clustering using nonparametric finite mixture models12
A survey of numerical algorithms that can solve the Lasso problems11
Merging two cultures: Deep and statistical learning10
Advances in estimation and inference for historical functional linear models9
Convergence rates of Metropolis–Hastings algorithms9
A review of N‐mixture models9
Data integration in causal inference9
Regression with linked datasets subject to linkage error9
Cluster analysis: A modern statistical review8
A review of normalization and differential abundance methods for microbiome counts data8
Tolerance limits for mixture‐of‐normal distributions with application to COVID‐19 data7
Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)6
Projection‐based techniques for high‐dimensional optimal transport problems6
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Diseases maps of spatial epidemiological data by R4
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Review on functional data classification4
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Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis3
Functional neuroimaging in the era of Big Data and Open Science: A modern overview3
A spectrum of explainable and interpretable machine learning approaches for genomic studies3
Joint Gaussian graphical model estimation: A survey3
Document clustering2
Prediction intervals for Poisson‐based regression models2
Community detection in complex networks: From statistical foundations to data science applications2
Statistical methods for gene–environment interaction analysis2
A review on computer model calibration2
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The R Package Ecosystem for Robust Statistics2
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Error control in tree structured hypothesis testing2
Function minimization and nonlinear least squares in R2
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Recent methods on short text stream clustering: A survey study2
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Cluster‐scaled principal component analysis1
Recent advances on mechanisms of network generation: Community, exchangeability, and scale‐free properties1
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Detecting clusters in multivariate response regression1
Forensic Science and How Statistics Can Help It1
A Bayesian theory of mind approach to modeling cooperation and communication1
Volatility and dynamic dependence modeling: Review, applications, and financial risk management1
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Cover Image, Volume 13, Issue 21
Modeling multivariate extremes1
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Sequential Monte Carlo optimization and statistical inference1
On the safe use of prior densities for Bayesian model selection1
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Computational aspects of stable distributions1
Echelon analysis and its software for spatial lattice data1
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A survey on post‐quantum based approaches for edge computing security1
Information criteria for model selection1
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Copulae: An overview and recent developments0
Statistical inference for stochastic differential equations0
A Review of Generalized Linear Latent Variable Models and Related Computational Approaches0
The promise and limitations of formal privacy0
Functional data analysis using deep neural networks0
A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges0
Advancing microdata privacy protection: A review of synthetic data methods0
Prediction approaches for partly missing multi‐omics covariate data: A literature review and an empirical comparison study0
Robust clustering based on trimming0
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Sequential change‐point detection: Computation versus statistical performance0
On unbiasedness and biasedness of the Wilcoxon and some nonparametric tests0
Acceleration of the EM algorithm0
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Robust regression using probabilistically linked data0
From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis0
Combining surveys in small area estimation using area‐level models0
Learning the sparse prior: Modern approaches0
A journey from univariate to multivariate functional time series: A comprehensive review0
Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging0
A review on authorship attribution in text mining0
On calibrated inverse probability weighting and generalized boosting propensity score models for mean estimation with incomplete survey data0
Challenges and opportunities beyond structured data in analysis of electronic health records0
Stability estimation for unsupervised clustering: A review0
A survey of smoothing techniques based on a backfitting algorithm in estimation of semiparametric additive models0
The state‐of‐the‐art on tours for dynamic visualization of high‐dimensional data0
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Vector AutoRegressive Moving Average Models: A Review0
Ordered and censored lifetime data in reliability: An illustrative review0
The discrete empirical interpolation method in class identification and data summarization0
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Big ideas in sports analytics and statistical tools for their investigation0
An introduction to persistent homology for time series0
The Data Mine model for accessible partnerships in data science0
Nearest‐neighbor sparse Cholesky matrices in spatial statistics0
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A review and comparison of arm‐based versus contrast‐based network meta‐analysis for binary outcomes—Understanding their differences and limitations0
Robust discriminant analysis0
A review of second‐order blind identification methods0
Biomarker data with measurement error in medical research: A literature review0
Correction to “A review of Monte Carlo and quasi‐Monte Carlo sampling techniques”0
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Sampling constrained continuous probability distributions: A review0
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The how and why of Bayesian nonparametric causal inference0
A review of Monte Carlo and quasi‐Monte Carlo sampling techniques0
Sample and realized minimum variance portfolios: Estimation, statistical inference, and tests0
A Review of Modern Multinomial‐Derived and Partition‐Based Record‐Linkage Methods0
Delta method, asymptotic distribution0
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A review of recent advances in empirical likelihood0
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Performance Characterization of Clusterwise Linear Regression Algorithms0
Detection of financial bubbles using a log‐periodic power law singularity (LPPLS) model0
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Reporting of Regression Models for Ordinal Responses in Sports Sciences Field: A Systematic Review0
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Integrative clustering methods for multi‐omics data0
Why BDeu? Regular Bayesian network structure learning with discrete and continuous variables0
Highly accelerated life testing (HALT): A review from a statistical perspective0
Hate speech detection in social media: Techniques, recent trends, and future challenges0
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Subgroup analysis and adaptive experiments crave for debiasing0
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