EconPapers    
Economics at your fingertips  
 

Introduction

Junwei Lu
Additional contact information
Junwei Lu: Harvard University

Chapter Chapter 1 in Big Data Analysis, 2025, pp 3-5 from Springer

Abstract: Abstract This book aims to solve two major questions: 1. How to analyze big data? (Method) 2. Why it works? (Theory) To clarify the questions above, we need to define what is “big data.” In this book, big data is almost a synonym of “high-dimensional data.” The dataset, usually denoted as 𝕏 $$\mathbb {X}$$ , is an n × d $$n \times d$$ matrix, where n is the sample size and d is the number of features (or feature dimension).

Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-03161-7_1

Ordering information: This item can be ordered from
http://www.springer.com/9783032031617

DOI: 10.1007/978-3-032-03161-7_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-05-29
Handle: RePEc:spr:sprchp:978-3-032-03161-7_1