A population model with non-neutral mutations using branching processes with immigration
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | A population model with non-neutral mutations using branching processes with immigration |
2. | Creator | Author's name, affiliation, country | Hongwei Bi; ENPC & Université Paris-Est & University of International Business and Economics; China |
2. | Creator | Author's name, affiliation, country | Jean-Francois Delmas; ENPC & Université Paris-Est; France |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | non-neutral mutation; branching process; immigration; bottleneck; population model; genealogical tree; MRCA |
3. | Subject | Subject classification | Primary: 60J80, 92D10; Secondary: 60G10, 60G55, 60J68, 92D25 |
4. | Description | Abstract | We consider a stationary continuous model of random size population with non-neutral mutations using a continuous state branching process with non-homogeneous immigration. We assume the type (or mutation) of the immigrants is random given by a constant mutation rate measure. We determine some genealogical properties of this process such as: distribution of the time to the most recent common ancestor (MRCA), bottleneck effect at the time to the MRCA (which might be drastic for some mutation rate measures), favorable type for the MRCA, asymptotics of the number of ancestors. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2014-07-20 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ejp.ejpecp.org/article/view/2939 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v19-2939 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Journal of Probability; Vol 19 |
12. | Language | English=en | en |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
15. | Rights | Copyright and permissions | The Electronic Journal of Probability applies the Creative Commons Attribution License (CCAL) to all articles we publish in this journal. Under the CCAL, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles published in EJP, so long as the original authors and source are credited. This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available. Summary of the Creative Commons Attribution License You are free
|