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 2021-04-01 to 2025-04-01.)
ArticleCitations
Issue Information55
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SAREV: A review on statistical analytics of single‐cell RNA sequencing data31
Editorial22
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Unsupervised clustering using nonparametric finite mixture models17
A systematic review of exploratory factor analysis packages in R software16
Merging two cultures: Deep and statistical learning15
Data integration in causal inference15
A survey of numerical algorithms that can solve the Lasso problems15
A review of normalization and differential abundance methods for microbiome counts data13
Regression with linked datasets subject to linkage error11
A review of N‐mixture models10
Convergence rates of Metropolis–Hastings algorithms9
Advances in estimation and inference for historical functional linear models9
Bayesian estimation methods for survey data with potential applications to health disparities research9
Bayesian modeling of multivariate time series of counts9
Particle swarm optimization for searching efficient experimental designs: A review9
Hidden Truncation Models: Theory and Applications8
Cluster analysis: A modern statistical review8
Projection‐based techniques for high‐dimensional optimal transport problems6
Recent methods on short text stream clustering: A survey study6
Document clustering5
Tolerance limits for mixture‐of‐normal distributions with application to COVID‐19 data5
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The R Package Ecosystem for Robust Statistics4
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A review on computer model calibration4
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Error control in tree structured hypothesis testing3
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Diseases maps of spatial epidemiological data by R3
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Review on functional data classification3
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Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)2
Statistical methods for gene–environment interaction analysis2
Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis2
Functional neuroimaging in the era of Big Data and Open Science: A modern overview2
Prediction intervals for Poisson‐based regression models2
Issue Information2
Joint Gaussian graphical model estimation: A survey2
A spectrum of explainable and interpretable machine learning approaches for genomic studies2
Surrogate Endpoints in Drug Development: A Review of Statistical and Regulatory Perspectives and Applications2
The Mollified (Discrete) Uniform Distribution and Its Applications2
Volatility and dynamic dependence modeling: Review, applications, and financial risk management1
Recent advances on mechanisms of network generation: Community, exchangeability, and scale‐free properties1
Forensic Science and How Statistics Can Help It1
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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Echelon analysis and its software for spatial lattice data1
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Modeling multivariate extremes1
Robust regression using probabilistically linked data1
Function minimization and nonlinear least squares in R1
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On the safe use of prior densities for Bayesian model selection1
Issue Information0
Correction to “A review of Monte Carlo and quasi‐Monte Carlo sampling techniques”0
Sequential change‐point detection: Computation versus statistical performance0
The how and why of Bayesian nonparametric causal inference0
A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges0
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Functional data analysis using deep neural networks0
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A journey from univariate to multivariate functional time series: A comprehensive review0
Statistical inference for stochastic differential equations0
Robust clustering based on trimming0
Sequential Monte Carlo optimization and statistical inference0
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A review of Monte Carlo and quasi‐Monte Carlo sampling techniques0
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On calibrated inverse probability weighting and generalized boosting propensity score models for mean estimation with incomplete survey data0
Subgroup analysis and adaptive experiments crave for debiasing0
Vector AutoRegressive Moving Average Models: A Review0
Stability estimation for unsupervised clustering: A review0
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A review of recent advances in empirical likelihood0
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Performance Characterization of Clusterwise Linear Regression Algorithms0
A survey on post‐quantum based approaches for edge computing security0
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The discrete empirical interpolation method in class identification and data summarization0
Big ideas in sports analytics and statistical tools for their investigation0
Advancing microdata privacy protection: A review of synthetic data methods0
A survey of smoothing techniques based on a backfitting algorithm in estimation of semiparametric additive models0
Biomarker data with measurement error in medical research: A literature review0
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From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis0
Acceleration of the EM algorithm0
Learning the sparse prior: Modern approaches0
Cover Image0
Computational aspects of stable distributions0
Developments in Secure Random Number Generators0
A review on authorship attribution in text mining0
Information criteria for model selection0
A review and comparison of arm‐based versus contrast‐based network meta‐analysis for binary outcomes—Understanding their differences and limitations0
A Review of Generalized Linear Latent Variable Models and Related Computational Approaches0
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Copulae: An overview and recent developments0
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Sample and realized minimum variance portfolios: Estimation, statistical inference, and tests0
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On unbiasedness and biasedness of the Wilcoxon and some nonparametric tests0
Prediction approaches for partly missing multi‐omics covariate data: A literature review and an empirical comparison study0
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
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The state‐of‐the‐art on tours for dynamic visualization of high‐dimensional data0
Detection of financial bubbles using a log‐periodic power law singularity (LPPLS) model0
Robust discriminant analysis0
Ordered and censored lifetime data in reliability: An illustrative review0
Sampling constrained continuous probability distributions: A review0
The Data Mine model for accessible partnerships in data science0
Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging0
Delta method, asymptotic distribution0
A Bayesian theory of mind approach to modeling cooperation and communication0
A Review of Modern Multinomial‐Derived and Partition‐Based Record‐Linkage Methods0
Highly accelerated life testing (HALT): A review from a statistical perspective0
A Review of Tree‐Based Methods for Analyzing Survey Data0
Hate speech detection in social media: Techniques, recent trends, and future challenges0
Challenges and Adaptations of Model‐Based Clustering for Flow and Mass Cytometry0
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Nuclear Norm Regularization0
Combining surveys in small area estimation using area‐level models0
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Nearest‐neighbor sparse Cholesky matrices in spatial statistics0
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