Chen, N. [ca. 2025]. Stochastic Methods for Modeling and Predicting Complex Dynamical Systems : Uncertainty Quantification, State Estimation, and Reduced-Order Models. In Synthesis Lectures on Mathematics & Statistics (2 nd ed. 2025) [Cd]. Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-81924-7
ISO-690 (author-date, English)CHEN, Nan, 2025. Stochastic Methods for Modeling and Predicting Complex Dynamical Systems : Uncertainty Quantification, State Estimation, and Reduced-Order Models. 2 nd ed. 2025. Cham: Springer Nature Switzerland. ISBN 9783031819247.
Modern Language Association 9th editionChen, N. „Stochastic Methods for Modeling and Predicting Complex Dynamical Systems : Uncertainty Quantification, State Estimation, and Reduced-Order Models“. Synthesis Lectures on Mathematics & Statistics, 2 nd ed. 2025, cd, Springer Nature Switzerland, 2025, https://doi.org/10.1007/978-3-031-81924-7.
Mohr Siebeck - Recht (Deutsch - Österreich)Chen, Nan: Stochastic Methods for Modeling and Predicting Complex Dynamical Systems : Uncertainty Quantification, State Estimation, and Reduced-Order Models, 2 nd ed. 2025. Aufl. Cham 2025.
Emerald - HarvardChen, N. (2025), Stochastic Methods for Modeling and Predicting Complex Dynamical Systems : Uncertainty Quantification, State Estimation, and Reduced-Order Models, Synthesis Lectures on Mathematics & Statistics, 2 nd ed. 2025., Bd. , Springer Nature Switzerland, Cham, verfügbar unter:https://doi.org/10.1007/978-3-031-81924-7.