Algorithmic High-Dimensional Robust Statistics

Price: $49.84
(as of Dec 27,2024 01:59:24 UTC – Details)

ASIN ‏ : ‎ B0CCJWK6CD
Publisher ‏ : ‎ Cambridge University Press (September 7, 2023)
Publication date ‏ : ‎ September 7, 2023
Language ‏ : ‎ English
File size ‏ : ‎ 6630 KB
Simultaneous device usage ‏ : ‎ Up to 4 simultaneous devices, per publisher limits
Text-to-Speech ‏ : ‎ Not enabled
Enhanced typesetting ‏ : ‎ Not Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Format ‏ : ‎ Print Replica

Algorithmic High-Dimensional Robust Statistics: Exploring the Cutting Edge of Data Analysis

In the world of data analysis, the field of robust statistics has long been recognized as a powerful tool for dealing with outliers and other forms of data contamination. However, as datasets become increasingly high-dimensional and complex, traditional robust statistical methods can struggle to keep up.

Enter algorithmic high-dimensional robust statistics. This cutting-edge approach combines the power of robust statistics with the efficiency of modern algorithms, allowing researchers to tackle complex data analysis problems in a robust and reliable way.

In this post, we’ll explore the key concepts behind algorithmic high-dimensional robust statistics, discuss some of the most popular algorithms in the field, and highlight some of the exciting applications that this approach is being used for. Whether you’re a seasoned data scientist or just starting out in the world of statistics, algorithmic high-dimensional robust statistics is a fascinating field that’s definitely worth exploring.
#Algorithmic #HighDimensional #Robust #Statistics