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 2021-03-01 to 2025-03-01.)
ArticleCitations
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Particle swarm optimization for searching efficient experimental designs: A review26
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SAREV: A review on statistical analytics of single‐cell RNA sequencing data16
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Editorial15
Bayesian modeling of multivariate time series of counts12
Bayesian estimation methods for survey data with potential applications to health disparities research12
Unsupervised clustering using nonparametric finite mixture models11
A systematic review of exploratory factor analysis packages in R software10
Regression with linked datasets subject to linkage error9
Merging two cultures: Deep and statistical learning9
A survey of numerical algorithms that can solve the Lasso problems9
A review of N‐mixture models8
Convergence rates of Metropolis–Hastings algorithms8
Advances in estimation and inference for historical functional linear models7
Cluster analysis: A modern statistical review6
Data integration in causal inference6
A review of normalization and differential abundance methods for microbiome counts data5
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Projection‐based techniques for high‐dimensional optimal transport problems4
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Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)4
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Tolerance limits for mixture‐of‐normal distributions with application to COVID‐19 data4
Review on functional data classification3
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Functional neuroimaging in the era of Big Data and Open Science: A modern overview3
Diseases maps of spatial epidemiological data by R3
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Joint Gaussian graphical model estimation: A survey2
Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis2
The Mollified (Discrete) Uniform Distribution and Its Applications2
A review on computer model calibration2
A spectrum of explainable and interpretable machine learning approaches for genomic studies2
Document clustering2
Error control in tree structured hypothesis testing2
The R Package Ecosystem for Robust Statistics2
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Recent methods on short text stream clustering: A survey study2
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Statistical methods for gene–environment interaction analysis2
On the safe use of prior densities for Bayesian model selection1
Sequential Monte Carlo optimization and statistical inference1
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Volatility and dynamic dependence modeling: Review, applications, and financial risk management1
Echelon analysis and its software for spatial lattice data1
Cluster‐scaled principal component analysis1
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Community detection in complex networks: From statistical foundations to data science applications1
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A Review of Tree‐Based Methods for Analyzing Survey Data1
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A survey on post‐quantum based approaches for edge computing security1
Function minimization and nonlinear least squares in R1
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Modeling multivariate extremes1
Recent advances on mechanisms of network generation: Community, exchangeability, and scale‐free properties1
Computational aspects of stable distributions1
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Prediction intervals for Poisson‐based regression models1
The how and why of Bayesian nonparametric causal inference0
Copulae: An overview and recent developments0
Developments in Secure Random Number Generators0
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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
A survey of smoothing techniques based on a backfitting algorithm in estimation of semiparametric additive models0
Combining surveys in small area estimation using area‐level models0
The discrete empirical interpolation method in class identification and data summarization0
Information criteria for model selection0
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Cover Image0
Challenges and Adaptations of Model‐Based Clustering for Flow and Mass Cytometry0
A review on authorship attribution in text mining0
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A Review of Modern Multinomial‐Derived and Partition‐Based Record‐Linkage Methods0
A review of Monte Carlo and quasi‐Monte Carlo sampling techniques0
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The Data Mine model for accessible partnerships in data science0
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Sample and realized minimum variance portfolios: Estimation, statistical inference, and tests0
Subgroup analysis and adaptive experiments crave for debiasing0
The promise and limitations of formal privacy0
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Reporting of Regression Models for Ordinal Responses in Sports Sciences Field: A Systematic Review0
The state‐of‐the‐art on tours for dynamic visualization of high‐dimensional data0
Advancing microdata privacy protection: A review of synthetic data methods0
From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis0
Statistical inference for stochastic differential equations0
A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges0
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Why BDeu? Regular Bayesian network structure learning with discrete and continuous variables0
Detection of financial bubbles using a log‐periodic power law singularity (LPPLS) model0
Forensic Science and How Statistics Can Help It0
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Hate speech detection in social media: Techniques, recent trends, and future challenges0
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Prediction approaches for partly missing multi‐omics covariate data: A literature review and an empirical comparison study0
Delta method, asymptotic distribution0
Performance Characterization of Clusterwise Linear Regression Algorithms0
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A Review of Generalized Linear Latent Variable Models and Related Computational Approaches0
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Nearest‐neighbor sparse Cholesky matrices in spatial statistics0
Big ideas in sports analytics and statistical tools for their investigation0
Acceleration of the EM algorithm0
Robust regression using probabilistically linked data0
Learning the sparse prior: Modern approaches0
On unbiasedness and biasedness of the Wilcoxon and some nonparametric tests0
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Biomarker data with measurement error in medical research: A literature review0
Functional data analysis using deep neural networks0
Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging0
A journey from univariate to multivariate functional time series: A comprehensive review0
Robust clustering based on trimming0
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A review of recent advances in empirical likelihood0
Correction to “A review of Monte Carlo and quasi‐Monte Carlo sampling techniques”0
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A Bayesian theory of mind approach to modeling cooperation and communication0
Sampling constrained continuous probability distributions: A review0
Vector AutoRegressive Moving Average Models: A Review0
Highly accelerated life testing (HALT): A review from a statistical perspective0
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Stability estimation for unsupervised clustering: A review0
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Sequential change‐point detection: Computation versus statistical performance0
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Robust discriminant analysis0
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On calibrated inverse probability weighting and generalized boosting propensity score models for mean estimation with incomplete survey data0
Ordered and censored lifetime data in reliability: An illustrative review0
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