Login
- Dokumenttyp:
- Buchbeitrag
- Autor(en):
- Aue, A. and Klepsch, J.
- Titel:
- Estimating invertible functional time series
- Abstract:
- This contribution discusses the estimation of an invertible functional time series through fitting of functional moving average processes. The method uses a functional version of the innovations algorithm and dimension reduction onto a number of principal directions. Several methods are suggested to automate the procedures. Empirical evidence is presented in the form of simulations and an application to traffic data.
- Seitenangaben Beitrag:
- 51-58
- Stichworte:
- Order Selection, Functional Principal Component Analysis, Functional Principal Component, Principal Subspace, Innovation Algorithm
- Herausgeber:
- Aneiros, G, Bongiorno, E.G., Cao, R. and Vieu, P.
- Buchtitel:
- Functional Statistics and Related Fields.
- Verlag / Institution:
- Springer
- Publikationsdatum:
- 28.04.2017
- Jahr:
- 2017
- Quartal:
- 2. Quartal
- Jahr / Monat:
- 2017-04
- Monat:
- Apr
- Print-ISBN:
- 978-3319558455
- Sprache:
- en
- WWW:
- Springer
- TUM Einrichtung:
- Lehrstuhl für Mathematische Statistik
- Semester:
- SS 17
- Format:
- Text
BibTeX