State-space approaches for modelling and control in financial engineering systems theory and machine learning methods

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1. Verfasser: Rigatos, Gerasimos G. 1971- (VerfasserIn)
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Datensatz im Suchindex

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series Intelligent Systems Reference Library
series2 Intelligent systems reference library
spellingShingle Rigatos, Gerasimos G. 1971-
State-space approaches for modelling and control in financial engineering systems theory and machine learning methods
Intelligent Systems Reference Library
Engineering
Risk management
Computational intelligence
Complexity, Computational
Control engineering
Electronics
Microelectronics
Computational Intelligence
Risk Management
Applications of Nonlinear Dynamics and Chaos Theory
Control
Complexity
Electronics and Microelectronics, Instrumentation
Ingenieurwissenschaften
title State-space approaches for modelling and control in financial engineering systems theory and machine learning methods
title_auth State-space approaches for modelling and control in financial engineering systems theory and machine learning methods
title_exact_search State-space approaches for modelling and control in financial engineering systems theory and machine learning methods
title_full State-space approaches for modelling and control in financial engineering systems theory and machine learning methods Gerasimos G. Rigatos
title_fullStr State-space approaches for modelling and control in financial engineering systems theory and machine learning methods Gerasimos G. Rigatos
title_full_unstemmed State-space approaches for modelling and control in financial engineering systems theory and machine learning methods Gerasimos G. Rigatos
title_short State-space approaches for modelling and control in financial engineering
title_sort state space approaches for modelling and control in financial engineering systems theory and machine learning methods
title_sub systems theory and machine learning methods
topic Engineering
Risk management
Computational intelligence
Complexity, Computational
Control engineering
Electronics
Microelectronics
Computational Intelligence
Risk Management
Applications of Nonlinear Dynamics and Chaos Theory
Control
Complexity
Electronics and Microelectronics, Instrumentation
Ingenieurwissenschaften
topic_facet Engineering
Risk management
Computational intelligence
Complexity, Computational
Control engineering
Electronics
Microelectronics
Computational Intelligence
Risk Management
Applications of Nonlinear Dynamics and Chaos Theory
Control
Complexity
Electronics and Microelectronics, Instrumentation
Ingenieurwissenschaften
url https://doi.org/10.1007/978-3-319-52866-3
volume_link (DE-604)BV041145603
work_keys_str_mv AT rigatosgerasimosg statespaceapproachesformodellingandcontrolinfinancialengineeringsystemstheoryandmachinelearningmethods