Skip to main content
Log in

Markovian trees: properties and algorithms

  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

In this paper we introduce a structure called the Markovian tree (MT). We define the MT and explore its alternative representation as a continuous-time Markovian Multitype Branching Process. We then develop two algorithms, the Depth and Order algorithms to determine the probability of eventual extinction of the MT process. We show that both of these algorithms have very natural physically intuitive interpretations and are analogues of the Neuts and U algorithms in Matrix-analytic Methods. Furthermore, we show that a special case of the Depth algorithm sheds new light on the interpretation of the sample paths of the Neuts algorithm.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Athreya, K., & Ney, P. (1971). Branching processes. Berlin: Springer.

    Google Scholar 

  • Bright, L., & Taylor, P. (1995). Calculating the equilibrium distribution in level-dependent quasi-birth-and-death processes. Communications in Statistics. Stochastic Models, 11, 497–525.

    Article  Google Scholar 

  • Dorman, K., Sinsheimer, J., & Lange, K. (2004). In the garden of branching processes. SIAM Review, 46, 202–229.

    Article  Google Scholar 

  • Harris, T. (1963). The theory of branching processes. Berlin: Springer.

    Google Scholar 

  • Kontoleon, N. (2005). The Markovian binary tree: a model of macroevolution. PhD thesis, The University of Adelaide, Adelaide, S.A. 5005.

  • Latouche, G., & Ramaswami, V. (1999). Introduction to matrix analytic methods in stochastic modelling. Philadelphia: ASA SIAM.

    Google Scholar 

  • Latouche, G., Remiche, M.-A., & Taylor, P. G. (2003). Transient Markov arrival processes. Annals of Applied Probability, 13, 628–640.

    Article  Google Scholar 

  • Lucantoni, D. (1991). New results on the single server queue with a batch Markovian arrival process. Communications in Statistics. Stochastic Models, 7, 1–46.

    Article  Google Scholar 

  • Mooers, A. O., & Heard, S. B. (1997). Inferring evolutionary processes from phylogenetic tree shape. The Quarterly Review of Biology, 71, 31–54.

    Article  Google Scholar 

  • Neuts, M. (1976). Moment formulas for the Markov renewal branching process. Advances in Applied Probability, 8, 690–711.

    Article  Google Scholar 

  • Neuts, M. (1979). A versatile Markovian point process. Journal of Applied Probability, 16, 764–779.

    Article  Google Scholar 

  • Neuts, M. F. (1981). Matrix-geometric solutions in stochastic models. Baltimore: John Hopkins Press.

    Google Scholar 

  • Pinelis, I. (2003). Evolutionary models of phylogenetic trees. Proceedings of the Royal Society Statistical Society of London, 203, 1425–1431. Appendix A available online at http://journals.royalsoc.ac.uk/app/home/contribution.asp?wasp=a8dec894974947a5b93cf7579dc72f2e&referrer-parent&backto=issue,15,15;journal,60,206;homemainpublications,6,7;.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nigel G. Bean.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bean, N.G., Kontoleon, N. & Taylor, P.G. Markovian trees: properties and algorithms. Ann Oper Res 160, 31–50 (2008). https://doi.org/10.1007/s10479-007-0295-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-007-0295-9

Keywords

Navigation