APA (7th ed.) Citation

Rigatos, G. G. (2017). State-space approaches for modelling and control in financial engineering: Systems theory and machine learning methods. Springer. https://doi.org/10.1007/978-3-319-52866-3

Chicago Style (17th ed.) Citation

Rigatos, Gerasimos G. State-space Approaches for Modelling and Control in Financial Engineering: Systems Theory and Machine Learning Methods. Cham: Springer, 2017. https://doi.org/10.1007/978-3-319-52866-3.

MLA (9th ed.) Citation

Rigatos, Gerasimos G. State-space Approaches for Modelling and Control in Financial Engineering: Systems Theory and Machine Learning Methods. Springer, 2017. https://doi.org/10.1007/978-3-319-52866-3.