STATISTICS AND COMPUTING

《统计与计算》是一份双月刊的参考期刊，发表有关统计与计算科学之间联系的论文。杂志包括技术评估分析棘手的问题,如引导重采样、马尔可夫链蒙特卡罗序贯蒙特卡罗近似贝叶斯算法,搜索和优化方法,随机模拟和蒙特卡洛,图形,计算机环境中,统计方法的软件错误,信息检索、机器学习、统计数据库和数据库技术,巨大的数据集和大数据分析,计算机代数,图形模型，图像处理，断层摄影，反演问题和不确定性量化。

Statistics and Computing is a bi-monthly refereed journal that publishes papers covering the interface between the statistical and computing sciences.The journal includes 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.