Statistics and Computing is a bi-monthly refereed journal which publishes papers covering the range of the interface between the statistical and computing sciences.

In particular, it addresses the use of statistical concepts in computing science, for example in machine learning, computer vision and data analytics, as well as the use of computers in data modelling, prediction and analysis. Specific topics which are covered include: techniques for evaluating analytically intractable problems such as bootstrap resampling, Markov chain Monte Carlo, sequential Monte Carlo, approximate Bayesian computation, search and optimization methods, stochastic simulation and Monte Carlo, graphics, computer environments, statistical approaches to software errors, information retrieval, machine learning, statistics of databases and database technology, huge data sets and big data analytics, computer algebra, graphical models, image processing, tomography, inverse problems and uncertainty quantification.

In addition, the journal contains original research reports, authoritative review papers, discussed papers, and occasional special issues on particular topics or carrying proceedings of relevant conferences. Statistics and Computing also publishes book review and software review sections.

Editor-in-Chief:
Mark Girolami
Department of Engineering
University of Cambridge
Cambridge CB2 1PZ
UK
Advisory Board:

Gilles Celeux (former Editor-in-Chief),Institut National de Recherche en Informatique, France
Persi Diaconis, Stanford University, USA
Andrew Gelman, Columbia University, USA
Peter Green, FRS, University of Bristol, UK
David Hand (founding Editor-in-Chief), Imperial College, London, UK
Michael I. Jordan, University of California, Berkley, USA
Christian P. Robert, Université Paris-Dauphine, France 
Bernhard Schölkopf, Max Planck Institute, Germany
Luke Tierney, University of Iowa, USA
Associate Editors:

Edo Airoldi, Harvard University, USA
Denis Allard, Unité de Biométrie, INRA, France
Alexandros Beskos, University College London, UK
Luke Bornn, Harvard University, USA
Tamara Broderick, Massachusetts Institute of Technology, USA
Gilles Celeux, Institut National de Recherche en Informatique et Automatique, France
Siddhartha Chib, Washington University, USA 
Alberto J. Coca, University of Cambridge, UK
Christopher Drovandi, Queensland University of Technology, Australia
Andrew Duncan, Imperial College London, UK 
Jo Eidsvik, Norwegian University of Science and Technology, Norway
Nial Friel, University College Dublin, Ireland
Steven Gilmour, University of Southampton, UK
Stéphane Girard, INRIA, France
Jim Griffin, University of Kent, UK
Christian Hennig, University College London, UK
John Hinde, National University of Ireland, Galway, Ireland
Dirk Husmeier, University of Glasgow, UK
Ajay Jasra, National University of Singapore, Singapore
Theodore Kypraios, University of Nottingham, UK
Pierre L'Ecuyer, Universite de Montreal, Canada
Anthony Lee, University of Warwick, UK
Mauricio Alvarez Lopez, University of Sheffield, UK
Vikash Mansinghka, Massachusetts Institute of Technology, USA
Giampiero Marra, University College London, UK
Geoff McLachlan, University of Queensland, Australia
Reza Modarres, The George Washington University, USA
Brendan Murphy, University College Dublin, Ireland
Chris Oates, Newcastle University, UK
Martyn Plummer, International Agency for Research on Cancer, France
Massimiliano Pontil, University College London, UK
Luigi Salmaso, University of Padua, Italy
Sylvain Sardy, Université de Genève, Switzerland 
Sumeetpal S. Singh, Cambridge University, UK 
Scott Sisson, UNSW, Sydney, Australia
Luke Tierney, University of Iowa, USA
Gerhard Tutz, Ludwig-Maximilians-Universität, Germany
Almut Veraart, Imperial College London, UK
Cinzia Viroli,University of Bologna, Italy
Yuedong Wang, University of California at Santa Barbara, USA
David Woods, University of Southampton, UK
Jason Wyse, Trinity College Dublin, Ireland