Statistics and Computing

期刊简介：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.

【译文】《统计学与计算》是一本双月刊，发表涵盖统计学与计算科学之间界面的论文。特别是，它讨论了在计算科学中使用统计概念，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、预测和分析中的应用。涵盖的具体主题包括：评估分析上难以处理的问题的技术，如自助重采样、马尔可夫链蒙特卡洛、顺序蒙特卡洛、近似贝叶斯计算、搜索和优化方法、随机模拟和蒙特卡洛、图形、计算机环境、软件错误的统计方法、信息检索、机器学习、数据库和数据库技术的统计学、大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、权威综述文章、讨论文章，以及偶尔针对特定主题或相关会议的特别问题或会议记录。统计学与计算还出版书籍评论和软件评论部分。