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Statistics and Computing - New EiC & Highly Cited Papers Visit us at springer.com
Welcome the New Editor-in-Chief
Dear SpringerAlert Subscriber,
Statistics and Computing
We are happy to announce that Mark Girolami is the new Editor-in-Chief of Statistics and Computing (STCO). Mark is Professor of Statistics at the University College London, where he also holds a professorial post in the Department of Computer Science. He is director of the Centre for Computational Statistics and Machine Learning.

Mark Girolami on STCO
Dear Colleague,

I am delighted to be taking on the role of Editor-in-Chief for Statistics and Computing (STCO).

In many ways, with the advent of the so called 'Big Data' revolution and the need to simulate natural events like weather on a global scale, this is a really exciting time for the statistical and computational research which falls within the scope of STCO. On the other hand, many would argue, it has always been an exciting time for research in statistics and computing. As a faculty member in the Department of Statistical Science at University College London, established by Karl Pearson a century ago, there are many reminders that statistics has always been driven to address computational challenges. Whether it is the Fuller-Bakewell cylindrical slide-rule used by Pearson that sits in my office, or the pages of carefully computed values of incomplete Beta functions, computed manually, it is clear that Statistics and Computing have been developing hand in hand for a very long time.

The frontier of research in computational statistics see challenges from "Big Data" and many impressive developments are being showcased. For example developments in the Machine Learning literature are finding their way into commercial products and services such as the TrueSkill player ranking system for Microsoft Xbox. Likewise the quantification of uncertainty in large-scale deterministic and stochastic differential equation models of natural and physical systems sees exciting developments in theory, methodology and computation. It is for reasons like this that this journal publishes papers that are in the vanguard of computational statistics and I relish the opportunity of ensuring we continue in this tradition.

The Advisory Board for the journal has been strengthened with the addition of Peter Green FRS, Michael I. Jordan, Andrew Gelman, Andrew Stuart and Bernhard Schölkopf. Their expertise and overall view of the area of research will be invaluable in guiding the development of the journal over the next few years. I am hugely grateful to all the Action Editors for their hard work in coordinating the reviews for submitted manuscripts and ensuring the high quality of accepted papers.

Editorial Board | More about STCO | Browse STCO | Submit online
Highly Cited Papers* - Free Read
Non-linear regression models for Approximate Bayesian Computation
Michael G.B. Blum, Olivier Fran├žois

Joint covariate selection and joint subspace selection for multiple classification problems
Guillaume Obozinski, Ben Taskar, Michael I. Jordan

Slice sampling mixture models
Maria Kalli, Jim E. Griffin, Stephen G.Walker

Extending mixtures of multivariate t-factor analyzers
Jeffrey L. Andrews, Paul D. McNicholas

Cases for the nugget in modeling computer experiments Robert B. Gramacy, Herbert K.H. Lee
Enjoy free access to a selection of high impact articles published in Statistics and Computing.

Read the articles free until April 30, 2013.

Read previews of articles free at any time.
*Selection of highly cited papers published 2010 - 2012
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Please enjoy reading the selection of articles. I also encourage you to consider submitting to STCO. Perhaps I will soon be seeing your contribution in one of the future issues. Should you have any questions please let me know.
With best regards,

Mark Girolami
Editor-in-Chief, Statistics and Computing
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Abstracted/Indexed in: Science Citation Index Expanded (SciSearch), Journal Citation Reports/Science Edition, SCOPUS, INSPEC, Google Scholar, EBSCO, Academic OneFile, ACM Computing Reviews, ACM Digital Library, Current Abstracts, Current Index to Statistics, DBLP, Gale, Mathematical Reviews, OCLC, SCImago, Summon by Serial Solutions
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