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Convergence to Fleming-Viot processes in the weak atomic topology

Author

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  • Ethier, S. N.
  • Kurtz, Thomas G.

Abstract

Stochastic models for gene frequencies can be viewed as probability-measure-valued processes. Fleming and Viot introduced a class of processes that arise as limits of genetic models as the population size and the number of possible genetic types tend to infinity. In general, the topology on the process values in which these limits exist is the topology of weak convergence; however, convergence in the weak topology is not strong enough for many genetic applications. A new topology on the space of finite measures is introduced in which convergence implies convergence of the sizes and locations of atoms, and conditions are given under which genetic models converge in this topology. As an application, Kingman's Poisson-Dirichlet limit is extended to models with selection.

Suggested Citation

  • Ethier, S. N. & Kurtz, Thomas G., 1994. "Convergence to Fleming-Viot processes in the weak atomic topology," Stochastic Processes and their Applications, Elsevier, vol. 54(1), pages 1-27, November.
    • Handle: RePEc:eee:spapps:v:54:y:1994:i:1:p:1-27
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    Citations

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    Cited by:

    1. Stefano Favaro & Matteo Ruggiero & Dario Spanò & Stephen G. Walker, 2007. "The Neutral Population Model and Bayesian Nonparametrics," ICER Working Papers - Applied Mathematics Series 18-2007, ICER - International Centre for Economic Research.
    2. Feng, Shui, 2009. "Poisson-Dirichlet distribution with small mutation rate," Stochastic Processes and their Applications, Elsevier, vol. 119(6), pages 2082-2094, June.
    3. Champagnat, Nicolas & Hass, Vincent, 2023. "Existence, uniqueness and ergodicity for the centered Fleming–Viot process," Stochastic Processes and their Applications, Elsevier, vol. 166(C).
    4. Dawson, Donald A. & Feng, Shui, 1998. "Large deviations for the Fleming-Viot process with neutral mutation and selection," Stochastic Processes and their Applications, Elsevier, vol. 77(2), pages 207-232, September.
    5. Desai, Michael M. & Nicolaisen, Lauren E. & Walczak, Aleksandra M. & Plotkin, Joshua B., 2012. "The structure of allelic diversity in the presence of purifying selection," Theoretical Population Biology, Elsevier, vol. 81(2), pages 144-157.
    6. Stephen G. Walker & Matteo Ruggiero, 2007. "Construction and Stationary Distribution of the Fleming-Viot Process with Viability Selection," ICER Working Papers - Applied Mathematics Series 14-2007, ICER - International Centre for Economic Research.
    7. Chen, Yu-Ting & Cox, J. Theodore, 2018. "Weak atomic convergence of finite voter models toward Fleming–Viot processes," Stochastic Processes and their Applications, Elsevier, vol. 128(7), pages 2463-2488.
    8. Steinrücken, Matthias & Wang, Y.X. Rachel & Song, Yun S., 2013. "An explicit transition density expansion for a multi-allelic Wright–Fisher diffusion with general diploid selection," Theoretical Population Biology, Elsevier, vol. 83(C), pages 1-14.
    9. A. Dawson, Donald & Feng, Shui, 2001. "Large deviations for the Fleming-Viot process with neutral mutation and selection, II," Stochastic Processes and their Applications, Elsevier, vol. 92(1), pages 131-162, March.
    10. Stephen G. Walker & Matteo Ruggiero, 2007. "Bayesian Nonparametric Construction of the Fleming-Viot Process with Fertility Selection," ICER Working Papers - Applied Mathematics Series 13-2007, ICER - International Centre for Economic Research.

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