{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/inferring-fitness-in-finite-populations-with","title":"Inferring Fitness in Finite Populations with Moran-like dynamics","arxiv_id":"1303.4566","date":"2013-03-19","proceeding":null,"authors":["Marc Harper"],"abstract":"Biological fitness is not an observable quantity and must be inferred from\npopulation dynamics. Bayesian inference applied to the Moran process and\nvariants yields a robust inference method that can infer fitness in populations\nevolving via a Moran dynamic and generalizations. Information about fitness is\nderived solely from birth-events in birth-death and death-birth processes in\nwhich selection acts proportionally to fitness, which allows the method to be\napplied to populations on a network where the network itself may be changing in\ntime. Populations may also be allowed to change size while still allowing\nestimates for fitness to be inferred.","url_abs":"http://arxiv.org/abs/1303.4566v3","url_pdf":"http://arxiv.org/pdf/1303.4566v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"inferring-fitness-in-finite-populations-with","repo_url":"https://github.com/marcharper/mpsim","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"bayesian-inference","task_name":"Bayesian Inference"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}