Selected Topics in Statistical Computing
Methodology
2020-04-27 v1
Abstract
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.
Cite
@article{arxiv.2004.11816,
title = {Selected Topics in Statistical Computing},
author = {Suneel Babu Chatla and Chun-houh Chen and Galit Shmueli},
journal= {arXiv preprint arXiv:2004.11816},
year = {2020}
}