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Published titles in this catalogue:
Steven S. Skiena · 2008 · Springer
The Algorithm Design Manual by Steven S. Skiena serves as a comprehensive guide for understanding and applying algorithm design techniques. It covers essential topics such as data structures, dynamic programming, and heuristics, tailored for practitioners in quantitative finance and technology sectors.
Gareth James et al. · 2013 · Springer
An Introduction to Statistical Learning offers a comprehensive overview of statistical learning techniques, essential for analysing complex data sets in various fields including finance. The book covers key topics such as linear regression, classification, and tree-based methods, with practical applications demonstrated using R.
Damiano Brigo · Fabio Mercurio · 2006 · Springer
This comprehensive text on interest rate models delves into both theoretical frameworks and practical applications, making it essential for practitioners in quantitative finance. Covering a wide range of derivatives and quantitative techniques, it serves as a vital resource for traders and quants focused on interest rate instruments.
Damiano Brigo · Fabio Mercurio · 2006 · Springer
Advanced interest-rate modelling for quants.
Manish Yarats · David Mann · 2019 · Springer
Machine Learning for Trading provides practitioners with a comprehensive guide to applying machine learning techniques in financial trading. The book covers essential quantitative finance concepts and the integration of technology to enhance trading strategies.
Paul Embrechts et al. · 1997 · Springer
This comprehensive text delves into the modelling of extremal events, focusing on their implications for both insurance and finance. It integrates theoretical foundations with practical applications, making it a vital resource for professionals in risk management and quantitative finance.
Damir Filipovic · 2009 · Springer
This comprehensive text delves into term structure models, focusing on their application in derivatives and quantitative finance, particularly in the context of interest rates. It serves as a graduate-level course, providing a robust foundation for understanding the dynamics of interest rate models.