If this email is not displayed correctly, please click here to read this email online.
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
separating line
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
separating line
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
Share this newsletter:
Did you publish a Springer book pre-2005?
Do you know somebody who did?
Get in touch to add it to the Springer Book Archives!
separating line
The New SpringerLink
Delivering results with the speed, accuracy and convenience that today's researchers need.
separating line
Impact Factor 1.429
Statistics and Computing ranks in the top 25% of Probability&Statistics and Computer Science Theory categories!
separating line
New Issue Alert
The latest articles published in Statistics and Computing?
Direct links and DOI included.
Sign up for the free alert and stay up-to-date.
separating line
Online First!
While some articles of the journal are not yet published in an e- or print issue, they are already available via Online First. Start reading, using & citing them today!
separating line
Recommend this journal
separating line
Get More Insights
Springer Realtime
Check out what is downloaded: Live and in real-time!
Browse now for Statistics and Computing
separating line
Services for Journal Authors
Use our tools and tips for smooth publication of your work.
separating line
Interact with us
Like Springer Computer Science on facebook !
or follow @SpringerCompSci on twitter!
separating line
This email has been sent to your email address
You are receiving this e-mail because you are registered with SpringerAlerts
If you would not like to receive further information on Springer's publishing program in your interest field, please use this link: #UNSUB#
For all enquiries, problems or suggestions regarding this service, please contact springeralerts@springer.com.
Springer respects your privacy and does not disclose, sell or rent your personal information to any nonaffiliated third parties without your consent. Please visit our Springer Privacy Statement
Springer-Verlag GmbH, Tiergartenstrasse 17, 69121 Heidelberg, Germany, phone: +49 6221 487 0, fax: +49 6221 487 8366
© Springer 2013, springer.com