The bifurcating autoregression model in cell lineage studies

A model for cell lineage data is presented and analysed. The model is an extension of the classical first-order autoregression, used in time-series studies, to bifurcating data trees of general size and shape. Maximum likelihood theory is developed and compared with an extensive simulation study. Some properties of moment estimators are also presented.