论文标题
统计计算中选定的主题
Selected Topics in Statistical Computing
论文作者
论文摘要
计算统计的领域是指计算密集型的统计方法或工具。由于计算能力的最新进展，其中一些方法已成为现代数据分析的关键，并且是核心。在本文中，我们重点介绍了几种主要方法，包括密度估计，内核平滑，平滑花样和添加剂模型。虽然计算统计领域包括更多方法，但本文简要介绍了选定的流行主题。
The field of computational statistics refers to statistical methods or tools that are computationally intensive. Due to the recent advances in computing power some of these methods have become prominent and central to modern data analysis. In this article we focus on several of the main methods including density estimation, kernel smoothing, smoothing splines, and additive models. While the field of computational statistics includes many more methods, this article serves as a brief introduction to selected popular topics.
