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Convergence of likelihood ratios and estimators for selection in nonneutral Wright–Fisher diffusions
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Sant, Jaromir, Jenkins, Paul, Koskela, Jere and Spanò, Dario (2022) Convergence of likelihood ratios and estimators for selection in nonneutral Wright–Fisher diffusions. Scandinavian Journal of Statistics, 49 (4). pp. 1728-1760. doi:10.1111/sjos.12572 ISSN 0303-6898.
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Official URL: https://doi.org/10.1111/sjos.12572
Abstract
A number of discrete time, finite population size models in genetics describing the dynamics of allele frequencies are known to converge (subject to suitable scaling) to a diffusion process termed the Wright–Fisher diffusion. This diffusion evolves on a bounded interval, such that many standard results in diffusion theory, assuming evolution on the real line, no longer apply. In this article we derive conditions to establish ϑ ‐uniform ergodicity for diffusions on bounded intervals, and use them to prove that the Wright–Fisher diffusion is uniformly in the selection and mutation parameters ergodic, and that the measures induced by the solution to the stochastic differential equation are uniformly locally asymptotically normal. We subsequently use these results to show that the maximum likelihood and Bayesian estimators for the selection parameter are uniformly over compact sets consistent, asymptotically normal, display moment convergence, and are asymptotically efficient for a suitable class of loss functions.
Item Type: | Journal Article | ||||||||||||
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Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics Q Science > QH Natural history |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science Faculty of Science, Engineering and Medicine > Science > Statistics |
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SWORD Depositor: | Library Publications Router | ||||||||||||
Library of Congress Subject Headings (LCSH): | Diffusion processes, Population biology -- Mathematical models, Ergodic theory, Stochastic differential equations, Inference | ||||||||||||
Journal or Publication Title: | Scandinavian Journal of Statistics | ||||||||||||
Publisher: | Wiley-Blackwell Publishing Ltd. | ||||||||||||
ISSN: | 0303-6898 | ||||||||||||
Official Date: | December 2022 | ||||||||||||
Dates: |
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Volume: | 49 | ||||||||||||
Number: | 4 | ||||||||||||
Page Range: | pp. 1728-1760 | ||||||||||||
DOI: | 10.1111/sjos.12572 | ||||||||||||
Status: | Peer Reviewed | ||||||||||||
Publication Status: | Published | ||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||||
Date of first compliant deposit: | 8 March 2022 | ||||||||||||
Date of first compliant Open Access: | 10 March 2022 | ||||||||||||
RIOXX Funder/Project Grant: |
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