BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Financial Data Analytics and Statistical Learning

Financial Data Analytics and Statistical Learning

Financial Data Analytics and Statistical Learning
Stock photo: cover may vary

Financial Data Analytics and Statistical Learning Hardback -

by Shuangzhe Liu (Guest Editor); Tiefeng Ma (Guest Editor); Seng Huat Ong (Guest Editor)

Add to wish list
  • New
  • Hardback
New

Description

. Hardback. New.
Ask the seller a question Add to wish list
A$169.61
A$5.86 Delivery within USA
Standard delivery: 9 to 14 days
More delivery options
Ships from Cold Books (New York, United States)

Details

  • Title Financial Data Analytics and Statistical Learning
  • Author Shuangzhe Liu (Guest Editor); Tiefeng Ma (Guest Editor); Seng Huat Ong (Guest Editor)
  • Binding Hardback
  • Condition New
  • Pages 206
  • Volumes 1
  • Language ENG
  • Publisher Mdpi AG
  • Publication date
  • Bookseller's Inventory # 6401460318
  • ISBN 9783725804825 / 3725804826
  • Weight 1.42 lbs (0.64 kg)
  • Dimensions 9.61 x 6.69 x 0.69 in (24.41 x 16.99 x 1.75 cm)
  • Category Business / Economics / Finance
  • Quantity available 4

About Cold Books New York, United States

Biblio member since 2012

Terms of Sale: 30 day return guarantee, with full refund including shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Cold Books

Reader reviews for Financial Data Analytics and Statistical Learning

From the publisher

Recently, there have been significant strides in the application of statistical learning techniques for solving financial, insurance, and various business and economic problems. These techniques, rooted in mathematical foundations and statistical theory and fueled by machine learning algorithms, aim to uncover patterns, relationships, and insights within vast and intricate datasets. In this reprint, we have gathered the latest developments in financial analysis and statistical learning, along with practical applications.

tracking-