Simulation and Estimation for the Fractional Yule Process
Dexter O. Cahoy () and
Federico Polito ()
Additional contact information
Dexter O. Cahoy: Louisiana Tech University
Federico Polito: Sapienza University of Rome
Methodology and Computing in Applied Probability, 2012, vol. 14, issue 2, 383-403
Abstract:
Abstract In this paper, we propose some representations of a generalized linear birth process called fractional Yule process (fYp). We also derive the probability distributions of the random birth and sojourn times. The inter-birth time distribution and the representations then yield algorithms on how to simulate sample paths of the fYp. We also attempt to estimate the model parameters in order for the fYp to be usable in practice. The estimation procedure is then tested using simulated data as well. We also illustrate some major characteristics of fYp which will be helpful for real applications.
Keywords: Yule–Furry process; Fractional calculus; Mittag–Leffler; Wright; Poisson process; Birth process; 37A50; 62M86; 97K60 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1007/s11009-010-9207-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:metcap:v:14:y:2012:i:2:d:10.1007_s11009-010-9207-6
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/11009
DOI: 10.1007/s11009-010-9207-6
Access Statistics for this article
Methodology and Computing in Applied Probability is currently edited by Joseph Glaz
More articles in Methodology and Computing in Applied Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().