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State-Space Approaches for Modelling and Control in Financial Engineering: Systems theory and machine learning methods (Intelligent Systems Reference Library)
by Gerasimos G. Rigatos
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<p>The book conclusively solves problems associated with the control and estimation of nonlinear and chaotic dynamics in &#xFB01;nancial systems when these are described in the form of nonlinear ordinary di&#xFB00;erential equations. It then addresses problems associated with the control and estimation of &#xFB01;nancial systems governed by partial di&#xFB00;erential equations (e.g. the Black&#x2013;Scholes partial differential equation (PDE) and its variants). Lastly it an offers optimal solution to the problem of statistical validation of computational models and tools used to support &#xFB01;nancial engineers in decision making.</p><p>The application of state-space models in &#xFB01;nancial engineering means that the heuristics and empirical methods currently in use in decision-making procedures for &#xFB01;nance can be eliminated. It also allows methods of fault-free performance and optimality in the management of assets and capitals and methods assuring stability in the functioning of &#xFB01;nancial systems to be established.</p><p>Covering the following key areas of &#xFB01;nancial engineering: (i) control and stabilization of &#xFB01;nancial systems dynamics, (ii) state estimation and forecasting, and (iii) statistical validation of decision-making tools, the book can be used for teaching undergraduate or postgraduate courses in &#xFB01;nancial engineering. It is also a useful resource for the engineering and computer science community</p>


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price: $120.14
bound:
publisher: Springer; 1st ed. 2017 edition (April 6, 2017)
lang: English
asin:
isbn: 3319528653, 978-3319528656,
weight: 1.4 pounds (
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State-Space Approaches for Modelling and Control in Financial Engineering: Systems theory and machine learning methods (Intelligent Systems Reference Library) Gerasimos G. Rigatos
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..Intelligent Systems Reference Library
State-Space Approaches for Modelling and Control in Financial Engineering Systems theory and machine learning methods..
State-Space Approaches for Modelling and Control in Financial Engineering: Systems theory and machine learning methods (Intelligent Systems Reference Library)
State Space Approaches For Modelling And Control In Financial Engineering: Systems Theory And Machine Learning Methods
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Gerasimos G
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