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 2021-05-01 to 2025-05-01.)
ArticleCitations
SAREV: A review on statistical analytics of single‐cell RNA sequencing data62
A systematic review of exploratory factor analysis packages in R software33
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Projection‐based techniques for high‐dimensional optimal transport problems20
Recent methods on short text stream clustering: A survey study18
Prediction intervals for Poisson‐based regression models17
The Mollified (Discrete) Uniform Distribution and Its Applications16
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Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis15
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Robust regression using probabilistically linked data13
Forensic Science and How Statistics Can Help It11
A Bayesian theory of mind approach to modeling cooperation and communication11
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Nearest‐neighbor sparse Cholesky matrices in spatial statistics10
From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis9
A review of Monte Carlo and quasi‐Monte Carlo sampling techniques9
A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges9
A journey from univariate to multivariate functional time series: A comprehensive review9
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Stability estimation for unsupervised clustering: A review9
The discrete empirical interpolation method in class identification and data summarization8
Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging6
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Learning the sparse prior: Modern approaches6
Merging two cultures: Deep and statistical learning5
Bayesian modeling of multivariate time series of counts5
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Convergence rates of Metropolis–Hastings algorithms5
OMARS Designs for Factor Screening and Response Surface Experimentation in One Step: A Review4
Error control in tree structured hypothesis testing4
Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)4
Unsupervised clustering using nonparametric finite mixture models4
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Cluster‐scaled principal component analysis3
Function minimization and nonlinear least squares in R3
On unbiasedness and biasedness of the Wilcoxon and some nonparametric tests3
Vector AutoRegressive Moving Average Models: A Review3
Joint Gaussian graphical model estimation: A survey3
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The promise and limitations of formal privacy3
Sequential Monte Carlo optimization and statistical inference3
Sequential change‐point detection: Computation versus statistical performance2
Ordered and censored lifetime data in reliability: An illustrative review2
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Cluster analysis: A modern statistical review2
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Hidden Truncation Models: Theory and Applications2
A survey of numerical algorithms that can solve the Lasso problems2
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A review of N‐mixture models2
A Systematic Review and Comparative Study of R Packages for Ordinal Response Regression Models1
Sampling constrained continuous probability distributions: A review1
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Surrogate Endpoints in Drug Development: A Review of Statistical and Regulatory Perspectives and Applications1
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Robust clustering based on trimming1
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A survey on post‐quantum based approaches for edge computing security1
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Tolerance limits for mixture‐of‐normal distributions with application to COVID‐19 data1
A spectrum of explainable and interpretable machine learning approaches for genomic studies1
Information criteria for model selection1
Statistical inference for stochastic differential equations1
Breaking the Complexity of Cancer Using Computational Transcriptomic Network Biology1
A review on authorship attribution in text mining1
Recent advances on mechanisms of network generation: Community, exchangeability, and scale‐free properties1
A review on computer model calibration1
Particle swarm optimization for searching efficient experimental designs: A review1
Computational aspects of stable distributions1
Instructional Applet Collections for Statistics Education0
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A review of normalization and differential abundance methods for microbiome counts data0
Reporting of Regression Models for Ordinal Responses in Sports Sciences Field: A Systematic Review0
Functional neuroimaging in the era of Big Data and Open Science: A modern overview0
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A Review of Generalized Linear Latent Variable Models and Related Computational Approaches0
Detection of financial bubbles using a log‐periodic power law singularity (LPPLS) model0
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Combining surveys in small area estimation using area‐level models0
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A Review of Modern Multinomial‐Derived and Partition‐Based Record‐Linkage Methods0
Sample and realized minimum variance portfolios: Estimation, statistical inference, and tests0
Bayesian estimation methods for survey data with potential applications to health disparities research0
Challenges and Adaptations of Model‐Based Clustering for Flow and Mass Cytometry0
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Correction to “A review of Monte Carlo and quasi‐Monte Carlo sampling techniques”0
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Diseases maps of spatial epidemiological data by R0
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Review on functional data classification0
Prediction approaches for partly missing multi‐omics covariate data: A literature review and an empirical comparison study0
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On calibrated inverse probability weighting and generalized boosting propensity score models for mean estimation with incomplete survey data0
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Highly accelerated life testing (HALT): A review from a statistical perspective0
Functional Data Analysis Applications in Medicine: A Systematic Review0
Big ideas in sports analytics and statistical tools for their investigation0
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Document clustering0
Volatility and dynamic dependence modeling: Review, applications, and financial risk management0
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A survey of smoothing techniques based on a backfitting algorithm in estimation of semiparametric additive models0
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Subgroup analysis and adaptive experiments crave for debiasing0
Advancing microdata privacy protection: A review of synthetic data methods0
Functional data analysis using deep neural networks0
Robust discriminant analysis0
The state‐of‐the‐art on tours for dynamic visualization of high‐dimensional data0
Advances in estimation and inference for historical functional linear models0
A review and comparison of arm‐based versus contrast‐based network meta‐analysis for binary outcomes—Understanding their differences and limitations0
Hate speech detection in social media: Techniques, recent trends, and future challenges0
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On the safe use of prior densities for Bayesian model selection0
The R Package Ecosystem for Robust Statistics0
A review of recent advances in empirical likelihood0
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Modeling multivariate extremes0
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Biomarker data with measurement error in medical research: A literature review0
Data integration in causal inference0
The how and why of Bayesian nonparametric causal inference0
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Community detection in complex networks: From statistical foundations to data science applications0
Delta method, asymptotic distribution0
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Developments in Secure Random Number Generators0
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Regression with linked datasets subject to linkage error0
A Review of Tree‐Based Methods for Analyzing Survey Data0
Nuclear Norm Regularization0
Order‐of‐Addition Experiments: A Review and Some Recommendations0
Acceleration of the EM algorithm0
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The Data Mine model for accessible partnerships in data science0
Statistical methods for gene–environment interaction analysis0
Performance Characterization of Clusterwise Linear Regression Algorithms0
Echelon analysis and its software for spatial lattice data0
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