Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Convergence of likelihood ratios and estimators for selection in nonneutral Wright–Fisher diffusions

Tools
- Tools
+ Tools

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 . doi:10.1111/sjos.12572 (In Press)

[img]
Preview
PDF
WRAP-convergence-likelihood-ratios-estimators-selection-nonneutral-Wright–Fisher-diffusions-2022.pdf - Published Version - Requires a PDF viewer.
Available under License Creative Commons Attribution 4.0.

Download (979Kb) | Preview
Official URL: https://doi.org/10.1111/sjos.12572

Request Changes to record.

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
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Q Science > QH Natural history
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Faculty of Science, Engineering and Medicine > Science > Statistics
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: 7 January 2022
Dates:
DateEvent
7 January 2022Available
8 November 2021Accepted
DOI: 10.1111/sjos.12572
Status: Peer Reviewed
Publication Status: In Press
Access rights to Published version: Open Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
EP/HO23364/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
EP/N510129/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
EP/R044732/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us