Journal Title：Statistics And Computing

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.

Statistics and Computing 是一份双月刊的评审期刊，其发表的论文涵盖了统计和计算科学之间的接口范围。

特别是，它涉及统计概念在计算科学中的使用，例如在机器学习、计算机视觉和数据分析中，以及计算机在数据建模、预测和分析中的使用。涵盖的具体主题包括：评估分析棘手问题的技术，例如自举重采样、马尔可夫链蒙特卡罗、顺序蒙特卡罗、近似贝叶斯计算、搜索和优化方法、随机模拟和蒙特卡罗、图形、计算机环境、统计方法软件错误、信息检索、机器学习、数据库统计和数据库技术、海量数据集和大数据分析、计算机代数、图形模型、图像处理、断层扫描、逆问题和不确定性量化。

此外，该期刊还包含原创研究报告、权威评论论文、讨论论文，以及特定主题的不定期特刊或相关会议论文集。统计和计算还出版书评和软件评论部分。