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.
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