Wiley Interdisciplinary Reviews: Computational Statistics
Journal Title
- Wiley Interdisciplinary Reviews: Computational Statistics
ISSN
- E 1939-0068 | P 1939-5108
Publisher
- John Wiley & Sons Inc.
Listed on(Coverage)
| SJR | 2010-2019 |
|---|---|
| CiteScore | 2011-2019 |
| SCOPUS | 2017-2020 |
Active
- Active
based on the information
- SCOPUS:2020-10
Country
- USA
Aime & Scopes
- WIREs Computational Statistics is a major new scientific publication that supports the information needs of researchers in this field and helps to shape its future development. Its goals are: /// to present the current state of the art of ComputationalStatistics through an ongoing series of commissioned reviewswritten by leading researchers /// to capture the crucial interdisciplinary flavor of thisfield by including articles that address the key topics fromthe differing perspectives of statistics and computing, andincluding potential applications areas in technology, biology,physics, geography, and sociology /// to capture the rapid development of ComputationalStatistics through a systematic program of content updates /// and to encourage new participation in this field bypresenting its achievements and challenges in an accessible wayto a broad audience. WIREs Computational Statistics will be fully indexed in the major abstracting services, and will be assigned an impact factor in the same way as a journal. WIREs Computational Statistics will offer a comprehensive, coherent, well-structured coverage of the field. It will also be updated in a systematic fashion so that its content remains as current as possible. WIREs Computational Statistics reviews are structured into different article types: /// Opinions - provide a forum for thought-leaders to offer amore individual perspective /// Overviews - provide a broad and non-technical treatment ofimportant topics suitable for advances students and forresearchers without a strong background in the field /// Advanced Reviews - examine key areas of research in acitation-rich format suitable for researchers and advancedstudents /// Focus Articles - present specific real-world issues,examples and implementations /// Editorial Commentaries - allows WIREs editors to comment onbroad research trends in a less formal style /// WIREs Computational Statistics has the following top-levelcategory structure: /// Applications of Computational Statistics /// Artificial Intelligence /// Biostatistics and Bioinformatics /// Computational Bayesian Methods /// Computationally Intensive Statistical Methods /// Computer Science Methods /// Data Mining /// Data Structures /// Data Visualization /// Databases /// Machine Learning /// Modeling and Simulation /// Numerical Analysis /// Optimization /// Statistical Methods