Video: Ailene MacPherson, "A call for Bayesian inference in local adaptation: what we can and can not learn from reciprocal transplant data [SESSION TITLE: SPATIAL MODELS]"

Video From 24htp001: Modeling and Theory in Population Biology

Ailene MacPherson, Simon Fraser University

Monday, May 20, 2024 09:54 - 10:19

A call for Bayesian inference in local adaptation: what we can and can not learn from reciprocal transplant data [SESSION TITLE: SPATIAL MODELS]

Ailene MacPherson, Video: A call for Bayesian inference in local adaptation: what we can and can not learn from reciprocal transplant data [SESSION TITLE: SPATIAL MODELS]

Ailene MacPherson, A call for Bayesian inference in local adaptation: what we can and can not learn from reciprocal transplant data [SESSION TITLE: SPATIAL MODELS], Modeling and Theory in Population Biology, BIRS, BIRS talk, 24htp001, math, mathematics, video

Banff International Research Station

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mpeg4

89M

http://www.birs.ca/events/2024/5-day-workshops/24htp001/videos

http://www.birs.ca/events/2024/5-day-workshops/24htp001/videos/watch/202405200954-MacPherson.html

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