32 citations · 133 across the 15 of their papers we have counts for
3 papers · 1 filter
Polygenic Modeling with Bayesian Sparse Linear Mixed Models
Xiang Zhou, Peter Carbonetto, Matthew Stephens
Both linear mixed models (LMMs) and sparse regression models are widely used in genetics applications, including, recently, polygenic modeling in genome-wide association studies. T…
Integrated analysis of variants and pathways in genome-wide association studies using polygenic models of disease
Peter Carbonetto, Matthew Stephens
Many common diseases are highly polygenic, modulated by a large number genetic factors with small effects on susceptibility to disease. These small effects are difficult to map rel…
Nonparametric Bayesian Logic
Peter Carbonetto, Jacek Kisynski, Nando de Freitas +1
The Bayesian Logic (BLOG) language was recently developed for defining first-order probability models over worlds with unknown numbers of objects. It handles important problems in…