Work

Selected Topics in Statistical Computing

Year: 2020

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2004.11816

Authors: Chatla, Suneel Babu, Chen, Chun-houh, Shmueli, Galit

Institutions: National Tsing Hua University, Institute of Statistical Science, Academia Sinica, Academia Sinica

Language: English

Topic: Statistical Methods and Applications

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4297831384

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