Functional Data Analysis of Payment Systems

Functional Data Analysis of Payment Systems

In this paper for a credit cards payment system as robust predictor of transactions number and transactions intensity is proposed by means of functional autoregressive model. Intraday economic time series are treated as random continuous functions projected onto low dimensional subspace. Both B-spli...

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Veröffentlicht in:Nonlinear analysis (Vilnius, Lithuania) Lithuania), 2002-12, Vol.7 (2)
Hauptverfasser: A. Laukaitis, A. Račkauskas
Format: Artikel
Sprache:eng
Schlagworte:
B-splines
credit cards payment system
Fourier bases
functional AR model
functional data analysis
high frequency data
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Zusammenfassung:In this paper for a credit cards payment system as robust predictor of transactions number and transactions intensity is proposed by means of functional autoregressive model. Intraday economic time series are treated as random continuous functions projected onto low dimensional subspace. Both B-splines and Fourier bases are considered for data smoothing.
ISSN:1392-5113
2335-8963