- E. Xing, Kyung-ah Sohn. 2011. Learning ancestral genetic processes using nonparametric bayesian models. Abstract: Recent explosion of genomic data have enabled in-depth investigation of complex genetic mechanisms for various applications such as the inference on the human evolutionary history or the search for the genetic basis of phenotypic traits. Although great advances have been made in the analysis of genetic processes underlying such data, most statistical methods developed so far deal with the closely related genetic objects separately using specialized methods, and do not capture the intrinsic relatedness among multiple properties that have resulted from a common inheritance process. Moreover, these approaches often ignore the inherent uncertainty about the genetic complexity of the data and rely on inflexible models resulting from restrictive assumptions. 
