Wiley Interdisciplinary Reviews: Computational Statistics (WIR:CS)

Wiley Interdisciplinary Reviews: Computational Statistics is a peer-reviewed international review journal published by John Wiley & Sons Ltd (Wiley). It focuses on the intersection of statistics, computer science, and applied mathematics, emphasizing computational methods used for statistical modeling, data analysis, and modern data-driven research. The journal publishes high-quality review articles that summarize and critically evaluate advances in computational statistics rather than original research papers. It covers a wide range of topics including statistical learning, machine learning, Bayesian methods, big data analytics, numerical algorithms, simulation techniques, stochastic modeling, and high-dimensional data analysis. The journal plays an important role in connecting theoretical statistical methods with practical computational applications used in science, engineering, finance, biology, and social sciences. WIREs Computational Statistics is widely indexed in major databases such as Web of Science and Scopus, making it a recognized source for researchers and professionals. It helps readers understand emerging trends and challenges in computational statistics and data science. The journal is published several times per year and serves as an essential reference for statisticians, data scientists, and researchers working on advanced computational techniques in modern analytics and artificial intelligence.

Wiley Interdisciplinary Reviews: Computational Statistics (WIR:CS) is :-

• International, Peer-Reviewed, Open Access, Refereed, Computational Statistics, Statistical Computing, Machine Learning and Data Science, Applied Probability and Modeling, Big Data Analytics, Numerical and Simulation Methods, Bayesian and Inference Methods, statistical learning, machine learning, Bayesian methods, big data analytics, numerical algorithms, simulation techniques, stochastic modeling, high-dimensional data analysis , Online or Print , Bi-Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1939-5108, E-ISSN: 1939-0068, Established: 2009,
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE