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BAYESIAN INFERENCE OF INBREEDING DEPRESSION IN CONTROLLED CROSSES
Author(s) -
Waldmann Patrik
Publication year - 2003
Publication title -
evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.84
H-Index - 199
eISSN - 1558-5646
pISSN - 0014-3820
DOI - 10.1111/j.0014-3820.2003.tb00600.x
Subject(s) - inbreeding depression , biology , inference , inbreeding , bayesian inference , gibbs sampling , bayesian probability , statistics , sampling (signal processing) , missing data , evolutionary biology , artificial intelligence , mathematics , demography , computer science , computer vision , population , filter (signal processing) , sociology
. This study shows how a Gibbs sampling approach can be used for Bayesian inference of inbreeding depression. The method presented is mainly concerned with organisms that can be both selfed and outcrossed. Tests performed on simulated data with unequal variances and missing observations show that the method works well. Real data from the plant Scabiosa canescens is also analyzed.