  We describe the asymptotic behavior of the number $Z_n[a_n,\infty)$ of
individuals with a large value in a stable bifurcating autoregressive process.
The study of the associated first moment $\mathbb{E}(Z_n[a_n,\infty))$ is
equivalent to the annealed large deviation problem $\mathbb{P}(Y_n\geq a_n)$,
where $Y$ is an autoregressive process in a random environment and
$a_n\rightarrow \infty$.
  The population with large values and the trajectorial behavior of
$Z_n[a_n,\infty)$ is obtained from the ancestral paths associated to the large
deviations of $Y$ together with its environment. The study of large deviations
of autoregressive processes in random environment is of independent interest
and achieved first in this paper. The proofs of trajectorial estimates for
bifurcating autoregressive process involves then a law of large numbers for
non-homogenous trees.
  Two regimes appear in the stable case, depending on the fact that one of the
autoregressive parameter is greater than one or not. It yields two different
asymptotic behaviors for the large local densities and maximal value of the
bifurcating autoregressive process.
