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ADVANCEMENT OF FRACTIONALLY DIFFERENCED GEGENBAUER PROCESSES WITH LONG MEMORY

Published online by Cambridge University Press:  12 May 2016

GNANADARSHA SANJAYA DISSANAYAKE*
Affiliation:
School of Mathematics and Statistics, University of Sydney, New South Wales 2006, Australia email gnanadarshad@gmail.com
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Abstract

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Type
Abstracts of Australasian PhD Theses
Copyright
© 2016 Australian Mathematical Publishing Association Inc. 

References

Dissanayake, G. S. and Peiris, M. S., ‘Generalized fractional processes with conditional heteroskedasticity’, Sri Lankan J. Appl. Statist. 12 (2011), 112.CrossRefGoogle Scholar
Dissanayake, G. S., Peiris, M. S. and Proietti, T., ‘State space modeling of Gegenbauer processes with long memory’, Comput. Statist. Data Anal., Special issue of Ann. Comput. Financ. Econom., to appear, doi:10.1016/j.csda.2014.09.014.CrossRefGoogle Scholar
Dissanayake, G. S., Peiris, M. S. and Proietti, T., ‘Estimation of generalized fractionally differenced processes with conditionally heteroskedastic errors’, in: International Work Conference on Time Series, Proc. ITISE 2014 (eds. Ruiz, I. R. and Garcia, G. R.) 871890. Copicentro Granada S L, ISBN 978-84-15814-97-9.Google Scholar