Analysis of Genetic Diversity in Geographically Structured Populations: A Bayesian Perspective
By Kent E. Holsinger. 2004
103 citations recorded by the source corpus.
Subfields: Genetics
View Paper: https://www.semanticscholar.org/paper/f077d332258821031fb5c3edffdc373e64c83fec
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In Genetics
- Oscar E. Gaggiotti
- Matthieu Foll
- W. G. Hill
- D. Briese
- Bruce S. Weir
- Y. Buckley
- M. Rees
- MARK A. Beaumont
Citations in the corpus
- A Genome-Scan Method to Identify Selected Loci Appropriate for Both Dominant and Codominant Markers: A Bayesian Perspective (2008, methodology): “…aij, can be considered as sampled from the true alleles frequencies fpij and, therefore, can be described by the multinomial distribution (Holsinger 1999): aij Multinomialfnij ; fpij1; fpij2; . . . ; gpijKig: ð4Þ In principle, we could use as likelihood the multinomial distribution…”
- Estimating F-statistics. (2002, methodology): “The growing use of Bayesian methods to population genetics is reflected by several papers that use such methods to characterize population structure (30, 39, 40, 71).”
- Demography and management of the invasive plant species Hypericum perforatum. I. Using multi‐level mixed‐effects models for characterizing growth, survival and fecundity in a long‐term data set (2003, methodology): “Multi-level or hierarchical mixed models have been used in the fields of social science (Duncan, Jones & Moon 1996), medicine (Beacon & Thompson 1996), genetics (Holsinger 1999) and agriculture (Green, Berriatua & Morgan 1998) but have only rarely appeared”