Data Science and Risk Analytics in Finance and Insurance
暫譯: 金融與保險中的數據科學與風險分析

Lai, Tze Leung, Xing, Haipeng

Data Science and Risk Analytics in Finance and Insurance
  • 出版商: CRC
  • 出版日期: 2024-10-02
  • 售價: $3,600
  • 貴賓價: 9.5 折 $3,420
  • 語言: 英文
  • 頁數: 366
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1439839484
  • ISBN-13: 9781439839485
  • 相關分類: Data Science

    • 海外代購書籍(需單獨結帳)

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商品描述

This book presents statistics and data science methods for risk analytics in quantitative finance and insurance. The book offers a non-technical introduction to four key areas in financial technology: artificial intelligence, blockchain, cloud computing, and big data analytics.

商品描述(中文翻譯)

本書介紹了在量化金融和保險領域中，風險分析的統計和數據科學方法。該書提供了對金融科技四個關鍵領域的非技術性介紹：人工智慧、區塊鏈、雲計算和大數據分析。

作者簡介

Tze Leung Lai is the Ray Lyman Wilbur Professor and Professor of Statistics at Stanford University. He received the COPSS Presidents' Award in 1983. He has published extensively on sequential statistical analysis and a wide range of applications in the biomedical sciences, engineering, and finance.

Haipeng Xing is a Professor of Applied Mathematics and Statistics at State University of New York, Stony Brook. His research interests include sequential statistical methods and its applications, econometrics, quantitative finance, and recursive methods in macroeconomics.

作者簡介(中文翻譯)

賴子良是史丹佛大學的雷·萊曼·威爾伯教授及統計學教授。他於1983年獲得COPSS總統獎。他在序列統計分析及其在生物醫學科學、工程和金融等廣泛應用方面發表了大量著作。

邢海鵬是紐約州立大學石溪分校的應用數學與統計學教授。他的研究興趣包括序列統計方法及其應用、計量經濟學、量化金融以及宏觀經濟學中的遞歸方法。

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