Wiley Interdisciplinary Reviews: Computational Statistics
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Wiley Interdisciplinary Reviews Computational Statistics (WIREs Comp Stats)[1] is an important new forum to promote cross-disciplinary discussion on a broad array of computational and statistical techniques.It is an authoritative and encyclopedic resource addressing key topics from the diverse perspective of traditional statistics and modern computation. The content is fully citable, qualifying for abstracting, indexing, and ISI ranking.
Topics covered include:
Data Mining
Data Visualization
Computational Intensive Statistical Methods
Computational Bayesian Methods
Numerical Analysis
Statistical Methods
Computer Science Models
Applications of Computational Statistics
Data Structures
Databases
Modeling and Simulation
Biostatistics and Bioinformatics
Artificial Intelligence
Machine Learning
Optimization
Editors in Chief:
Edward J. Wegman, George Mason University
Yasmin H. Said, George Mason University
David W. Scott, Rice University