Advances in Econometrics, Operational Research, Data Science and Actuarial Studies
Techniques and Theories
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Beschreibung
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.
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.
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
Autor*in
M. Kenan Terzioğlu
Themen in »Advances in Econometrics, Operational Research, Data Science and Actuarial Studies«
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