  The purpose of this paper is to study the asymptotic behavior of the weighted
least square estimators of the unknown parameters of random coefficient
bifurcating autoregressive processes. Under suitable assumptions on the
immigration and the inheritance, we establish the almost sure convergence of
our estimators, as well as a quadratic strong law and central limit theorems.
Our study mostly relies on limit theorems for vector-valued martingales.
