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WIREs Computational Statistics
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WIREs Computational Statistics
 
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  WIRE’s Computational Statistics is an important forum that promotes cross-disciplinary and statistical technique. It:
  bullet   Presents the current state of the art of Computational Statistics through an ongoing series of commissioned reviews written by leading researchers.
  bullet   Captures the crucial interdisciplinary flavor of this field by including articles that address the key topics from the differing perspectives of statistics and computing, and including applications areas in computer science, technology, biology, physics, geography, and sociology.
  bullet   Addresses the rapid development of Computational Statistics.
  bullet   Encourages new participation in the field by presenting its achievements and challenges in an accessible way to a broad audience.
 
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Latest Issue
Read the latest issue of WIREs Computational Statistics featuring these top papers:
bullet   Introduction to manifold learning [Free]
bullet   The rank transformation-an easy and intuitive way to connect many nonparametric methods to their parametric counterparts for seamless teaching introductory statistics courses [Free]
 
Hot Papers
bullet   Models for networks: a cross-disciplinary science [Free]
bullet   Multivariate methods [Free]
bullet   CLOUD computing [Free]
bullet   Artificial intelligence [Free]
bullet   Sample size calculations for clinical trials [Free]

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