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State-Space Approaches for Modelling and Control in Financial Engineering

Systems theory and machine learning methods

Gerasimos G. Rigatos

978-3-319-52866-3

2017
Edition 1
- Presents new findings useful for academic teaching and research and to develop systematic methods for management and risk minimization in financial systems
- Solves in a conclusive manner problems associated with the control and stabilization of nonlinear and chaotic dynamics in financial systems
- Contains innovative results in control and estimation problems for financial systems and for statistical validation of computational tools used for financial decision making
- Includes supplementary material: sn.pub/extras
€180 €162
10% OFF

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