Bowling Green State University
LARGE SAMPLE INTERVAL MAPPING METHOD FOR GENETIC
TRAIT LOCI IN FINITE REGRESSION MIXTURE MODELS
The large sample study presented in this talk has general applicability to the interval mapping method of GTL in genetic research. First, the organism populations derived from either a backcross or an intercross design are considered. Secondly, most commonly-used models in genetic research, such as exponential family mixture, logistic regression and generalized linear mixture models, are special cases of finite non-linear regression mixture models. Third, unlike all existing results with the finite mixture models, the boundness conditions on the parametric space are not imposed in the study.
The talk is based on recent joint work with Drs. H. Zhang and Z. Li.