Data Science and Risk Analytics in Finance and Insurance - Couverture rigide

Livre 66 sur 68: Chapman and Hall/CRC Financial Mathematics

Lai, Tze Leung; Xing, Haipeng

 
9781439839485: Data Science and Risk Analytics in Finance and Insurance

Synopsis

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.

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À propos de l?auteur

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.

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