Overview
- Examines data science at the crossroads of econometrics, actuarial science and operational research
- Presents advanced methods and state-of-the-art models
- Bridges the gap between analytic, closed-form methods and numerical methods
Part of the book series: Contributions to Economics (CE)
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Table of contents (34 chapters)
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Front Matter
Keywords
- Artificial intelligence
- Big data
- Decision theory
- Statistics
- Data analysis
- Optimization
- Risk management
- High-dimensional models
- Practical applications
- Advanced theoretical applications
- Banking
- Finance
- Think-tanks
- Nonlinear complex dynamic models
- Linear complex dynamic models
- Empirical economics
- Forecasting
- Time series econometrics
About this book
This volume presents techniques and theories drawn from mathematics, statistics, computer science, and information science to analyze problems in business, economics, finance, insurance, and related fields.
The authors present proposals for solutions to common problems in related fields. To this end, they are showing the use of mathematical, statistical, and actuarial modeling, and concepts from data science to construct and apply appropriate models with real-life data, and employ the design and implementation of computer algorithms to evaluate decision-making processes.
This book is unique as it associates data science - data-scientists coming from different backgrounds - with some basic and advanced concepts and tools used in econometrics, operational research, and actuarial sciences. It, therefore, is a must-read for scholars, students, and practitioners interested in a better understanding of the techniques and theories of these fields.
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Advances in Econometrics, Operational Research, Data Science and Actuarial Studies
Book Subtitle: Techniques and Theories
Editors: M. Kenan Terzioğlu
Series Title: Contributions to Economics
DOI: https://doi.org/10.1007/978-3-030-85254-2
Publisher: Springer Cham
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-85253-5Published: 18 January 2022
Softcover ISBN: 978-3-030-85256-6Published: 19 January 2023
eBook ISBN: 978-3-030-85254-2Published: 17 January 2022
Series ISSN: 1431-1933
Series E-ISSN: 2197-7178
Edition Number: 1
Number of Pages: XXXIV, 591
Number of Illustrations: 29 b/w illustrations, 99 illustrations in colour
Topics: Economic Theory/Quantitative Economics/Mathematical Methods, Operations Research/Decision Theory, Statistics for Business, Management, Economics, Finance, Insurance, Data Mining and Knowledge Discovery, Macroeconomics/Monetary Economics//Financial Economics, IT in Business